Lead Data Scientist | Remote – GA, LA, OK, TN or TX

Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas

Primary Business Location: Houston, Texas

Work Arrangement: Fully remote within an approved state

Employment Type: Full-time, permanent

Industry: Healthcare and Health Technology

Experience Level: Experienced Individual Contributor / Technical Lead

Reports To: Manager, Data Science

Base Salary: $143,000–$180,000

Travel: Up to 20%

Relocation Assistance: Not available

Visa Sponsorship: Limited sponsorship may be considered

Position Overview

A leading healthcare organization is seeking an experienced Lead Data Scientist to lead high-priority analytical projects and solve complex organizational challenges using advanced statistical analysis, machine learning, predictive modeling and data visualization.

This is a hands-on technical leadership position. The successful candidate will remain actively involved in data exploration, model development, testing and interpretation while guiding projects, partnering with internal customers and mentoring other data scientists.

Key Responsibilities

• Lead analysis of complex structured and unstructured datasets.

• Develop, test, validate and maintain machine-learning and predictive models.

• Apply regression, time-series forecasting, classification, clustering, decision trees, neural networks, A/B testing and hypothesis testing.

• Evaluate model accuracy, stability, interpretability and fitness for purpose.

• Document methodologies, assumptions, limitations and validation results.

• Research and resolve data-quality problems across incomplete or inconsistent sources.

• Build repeatable analytical processes and production-ready solutions.

• Translate complex findings into clear recommendations for technical teams, business leaders and executives.

• Lead projects from discovery through modeling, implementation and measurement.

• Mentor data scientists and raise technical standards across the team.

• Partner with engineering, analytics, clinical and operational stakeholders.

• Support responsible and practical use of advanced analytics within healthcare.

Required Qualifications

• Advanced degree or equivalent experience in data science, statistics, mathematics, computer science, engineering, economics or a related quantitative discipline.

• Extensive professional data-science and advanced-analytics experience.

• Expert knowledge of statistical analysis, machine learning and predictive modeling.

• Strong programming experience using Python, R, SQL or comparable tools.

• Experience working with large, complex datasets and resolving data-quality issues.

• Ability to explain sophisticated concepts clearly to non-technical audiences.

• Strong project leadership, consulting and stakeholder-management skills.

• Ability to remain hands-on while leading technical delivery.

• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.

Preferred Qualifications

• Healthcare or health-technology experience.

• Experience deploying and monitoring models in production environments.

• Cloud analytics, distributed-computing or big-data experience.

• Experience mentoring technical professionals and leading cross-functional projects.

• Knowledge of data governance, privacy and responsible AI practices.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.

Senior Analyst, Workforce Analytics | Remote – GA, LA, OK, TN or TX

Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas

Primary Business Location: Houston, Texas

Work Arrangement: Fully remote within an approved state

Employment Type: Full-time, permanent

Industry: Healthcare

Experience Level: Senior

Reports To: Director, Workforce Analytics

Base Salary: $90,000–$110,000

Travel: Up to 20%

Relocation Assistance: Not available

Visa Sponsorship: Not available

Position Overview

A leading healthcare organization is seeking a highly analytical and consultative Senior Analyst, Workforce Analytics to transform complex workforce data into meaningful insights, recommendations and business decisions.

This is a hands-on analytics position. The successful candidate will partner with HR, Finance, Technology and operational leaders to understand the business problem behind each request, challenge assumptions, identify root causes and independently determine the most effective analytical solution.

Key Responsibilities

• Conduct complex analyses across headcount, turnover, retention, recruitment, compensation, diversity, productivity and organizational data.

• Translate undefined workforce challenges into structured analytical plans.

• Identify trends, relationships, risks and opportunities within large datasets.

• Develop dashboards, reports, data visualizations and executive-ready presentations.

• Apply statistical techniques and predictive methods to workforce questions.

• Combine data from multiple systems and improve data quality, definitions and governance.

• Partner with HR, Finance, IT and business leaders to define metrics and interpret results.

• Explain what is happening, why it matters and what action should be considered.

• Present findings clearly to senior leaders and non-technical stakeholders.

• Support workforce planning, talent strategy and operational decision-making.

• Manage several analytical projects and priorities independently.

• Mentor colleagues and help improve analytics standards and practices.

Required Qualifications

• Bachelor’s degree in analytics, statistics, mathematics, economics, business, HR, computer science or a related discipline.

• Significant professional experience in workforce, people, HR or business analytics.

• Strong analytical, statistical and problem-solving capability.

• Experience working with large, complex and imperfect datasets.

• Advanced Excel skills and experience with SQL, data visualization and reporting tools.

• Ability to create clear business narratives from analytical findings.

• Strong consulting, stakeholder-management and presentation skills.

• Ability to work independently in an ambiguous, fast-moving environment.

• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.

• Current authorization to work in the United States without sponsorship.

Preferred Qualifications

• Healthcare-industry experience.

• Experience with Tableau, Power BI or comparable visualization platforms.

• Knowledge of HRIS, workforce-planning or talent-management data.

• Experience with predictive analytics, statistical programming or data modeling.

• Graduate degree in a quantitative or business discipline.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.

Databricks Data Engineer – Sales Incentive Compensation | New York, NY

Databricks Data Engineer – Sales Incentive Compensation

📍 Location: New York, New York
🏢 Work Arrangement: Hybrid
📄 Contract Length: Six Months
💰 Hourly Rate: Approximately $75 per hour
💼 Employment Type: Contract
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
🏦 Industry: Insurance and Financial Services

Build the Data Infrastructure Behind Enterprise Sales Compensation

A leading global organization is seeking an experienced Databricks Data Engineer to design, develop and optimize enterprise data solutions supporting analytics, performance reporting and Sales Incentive Compensation.

This is not purely a pipeline-development position. The successful candidate will combine strong Databricks engineering expertise with an understanding of incentive compensation processes, including quota allocation, attainment calculations, commission processing and payout reporting.

You will work closely with Sales Operations, Finance, Business Intelligence and technology teams to translate complex business rules into scalable, accurate and auditable data solutions.

Why This Opportunity Stands Out

This opportunity will allow you to:

• Own the design and development of enterprise Databricks solutions

• Influence the wider Databricks architecture and technical roadmap

• Build data pipelines supporting business-critical compensation processes

• Work with Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows

• Translate complex incentive-plan rules into reliable transformation logic

• Improve automation, integration, data quality and platform performance

• Partner directly with senior Finance, Sales Operations and technology stakeholders

• Deliver solutions that directly influence commission and compensation accuracy

What You’ll Be Doing

Databricks Architecture and Engineering

• Design, develop and implement scalable Databricks-based data solutions

• Build and maintain data pipelines supporting ingestion, transformation, reporting and analytics

• Develop data models, Delta Lake tables, notebooks and reporting datasets

• Take ownership of the overall Databricks architecture

• Ensure new pipelines and enhancements integrate effectively with existing workflows

• Maintain and optimize Databricks workspaces, pipelines and orchestration processes

• Identify opportunities to improve automation, performance and data integration

• Design reliable ETL and ELT processes across multiple enterprise data sources

Sales Incentive Compensation

• Build data pipelines supporting Sales Incentive Compensation processes

• Translate incentive-plan rules into accurate and auditable data transformations

• Support quota allocation and quota-management processes

• Develop logic for attainment tracking and performance calculations

• Support commission calculations and payout processing

• Produce reliable datasets for compensation reporting and reconciliation

• Work closely with Sales Operations and Finance to understand plan structures and business rules

• Ensure calculation logic is transparent, documented and capable of being audited

• Integrate incentive-compensation platforms with enterprise data and analytics solutions

Performance and Data Quality

• Test, debug and optimize Databricks pipelines and notebooks

• Investigate and resolve data-quality, performance and integration issues

• Improve the reliability and efficiency of existing workflows

• Implement appropriate controls and validation processes

• Monitor data pipelines and troubleshoot failures or inconsistencies

• Deliver a high-quality experience for analysts and other data consumers

Stakeholder and Technical Collaboration

• Work with business stakeholders to understand complex data requirements

• Translate functional requirements into scalable technical architectures

• Challenge requirements constructively when a more effective solution is available

• Partner with Finance, Sales Operations, IT and Business Intelligence teams

• Provide technical support to analysts and end users

• Communicate technical concepts clearly to both technical and non-technical audiences

• Manage multiple priorities within a fast-paced enterprise environment

Documentation and Platform Development

• Document data architectures, models, pipelines and configuration decisions

• Produce clear technical specifications and development documentation

• Maintain documentation to support knowledge transfer and long-term platform ownership

• Stay current with Databricks capabilities and platform enhancements

• Identify opportunities to use features such as Unity Catalog, Delta Live Tables and Photon

What You’ll Bring

Essential Databricks and Data Engineering Experience

• At least seven years of professional data-engineering experience

• A minimum of three years of hands-on Databricks experience

• Extensive experience building and managing production Databricks solutions

• Strong knowledge of:

• Delta Lake

• Delta Live Tables

• Unity Catalog

• Databricks Workflows

• Databricks notebooks and workspaces

• Advanced proficiency in Python and/or Scala

• Strong SQL development expertise

• Experience with data ingestion, transformation, ETL/ELT and data modelling

• Experience designing and orchestrating enterprise data pipelines

• Strong understanding of data quality, scalability and performance optimization

Sales Incentive Compensation Experience

• Functional and technical experience with Sales Incentive Compensation processes

• Understanding of incentive-plan design and compensation rules

• Experience supporting quota allocation and management

• Knowledge of sales-attainment calculations

• Experience with commission calculation and payout processing

• Ability to model complex incentive rules within data pipelines and transformation logic

• Experience partnering with Sales Operations and Finance stakeholders

Cloud and Integration Experience

• Experience integrating Databricks with at least one major cloud platform:

• Microsoft Azure

• Amazon Web Services

• Google Cloud Platform

• Experience working with integration and ingestion technologies such as:

• Azure Data Factory

• Azure Event Hubs

• Apache Kafka

• Comparable cloud-based data-integration tools

• Ability to create holistic, end-to-end data solutions rather than isolated pipelines

Professional Capabilities

• Strong stakeholder-management and consulting skills

• Ability to translate complex business requirements into scalable data architectures

• Excellent analytical and problem-solving capabilities

• Strong written and verbal communication skills

• Ability to work effectively with cross-functional teams

• Resourceful and comfortable working with minimal direction

• Strong technical-documentation skills

• Ability to manage competing priorities and deadlines

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology or a related discipline

Preferred Experience

• Experience integrating Databricks with platforms such as:

• Anaplan

• Oracle Incentive Compensation

• Varicent

• Comparable Sales Performance Management platforms

• Databricks Certified Data Engineer Associate certification

• Databricks Certified Data Engineer Professional certification

• Experience using Photon to improve query and workload performance

• Previous experience within insurance, financial services or another large regulated enterprise

• Experience delivering auditable financial or compensation-related data solutions

The Ideal Candidate

The ideal candidate will be an experienced Databricks engineer who understands that compensation data requires exceptional accuracy, traceability and control.

You will be comfortable moving between detailed technical development and strategic conversations with Finance, Sales Operations and technology leaders. You should be willing to challenge requirements constructively, propose stronger architectural solutions and take ownership of delivery from initial design through testing, deployment and production support.

Most importantly, you will be able to combine enterprise data-engineering expertise with a practical understanding of how incentive plans, quotas, attainment calculations, commissions and payouts operate.

Contract Details

• Initial Contract: Six months

• Hourly Rate: Approximately $75 per hour

• Location: New York, New York

• Working Arrangement: Hybrid

• Visa Sponsorship: Not available

• Relocation Assistance: Not available

Ready to Build Business-Critical Data Solutions?

If you have deep Databricks expertise and experience translating complex Sales Incentive Compensation processes into scalable, accurate and auditable data solutions, this position offers the opportunity to make an immediate impact within a major enterprise environment.

Data Engineer | AWS, Python & Snowflake | Ridgefield, CT (Hybrid) | $140K–$185K

🧠 Data Engineer

Before reading further, here are three non-negotiables that the client has made absolutely clear:

This is a Direct Hire (W2) permanent position. No C2C, no 1099, no third parties.

Candidates must NOT require sponsorship now or in the future. We can only consider US Citizens or Green Card holders who can work long-term without restriction.

The role is Hybrid — non-negotiable. You must be onsite 2–3 days per week in Ridgefield, CT, so candidates must already live within commuting distance or be willing to relocate.
(The good news: the company offers excellent benefits and is open to relocation support or a sign-on bonus for the right hire.)

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
💼 Openings: 2
🏢 Industry: Information Technology / Life Sciences
🎓 Education: Bachelor’s degree in Computer Science, MIS, or related field (Master’s preferred)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for the ideal candidate
💰 Compensation: $140,000 – $185,000 base salary + full benefits
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Step into the future with a global leader in healthcare innovation — where Data and AI drive transformation and impact millions of lives.

As part of the Enterprise Data, AI & Platforms (EDP) team, you’ll join a high-performing group that’s building scalable, cloud-based data ecosystems and shaping the company’s data-driven future.

This role is ideal for a hands-on Data Engineer who thrives on designing, optimizing, and maintaining robust data pipelines in the cloud, while collaborating closely with architects, scientists, and business stakeholders across the enterprise.

🧭 Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks to enable advanced analytics and AI use cases.

• Collaborate with data architects, modelers, and data scientists to evolve the company’s cloud-based data architecture strategy (data lakes, warehouses, streaming analytics).

• Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data quality, integrity, and security.

• Implement data validation, monitoring, and troubleshooting processes to ensure high system reliability.

• Work cross-functionally with IT and business teams to understand data requirements and translate them into scalable solutions.

• Document architecture, workflows, and best practices to support transparency and continuous improvement.

• Stay current with emerging data engineering technologies, tools, and methodologies, contributing to innovation across the organization.

🧠 Core Requirements

Technical Skills

✅ Hands-on experience with AWS data services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
✅ Strong proficiency in Python and SQL for data manipulation and pipeline development.
✅ Experience in data warehousing and modeling (dimensional modeling, Kimball methodology).
✅ Familiarity with DevOps and CI/CD practices for data solutions.
✅ Experience integrating data between applications, data warehouses, and data lakes.
✅ Understanding of data governance, metadata management, and data quality principles.

Cloud & Platform Experience

• Expertise in AWS, Azure, or Google Cloud Platform (GCP) – AWS preferred.

• Knowledge of ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or AWS Glue.

• Experience with Snowflake, PostgreSQL, MongoDB, or other modern database systems.

Education & Experience

🎓 Bachelor’s degree in Computer Science, MIS, or related field
💼 5–7 years of professional experience in data engineering or data platform development
⭐ AWS Solutions Architect certification is a plus

🚀 Preferred Skills & Attributes

• Deep knowledge of big data technologies (Spark, Hadoop, Flink) is a strong plus.

• Proven experience troubleshooting and optimizing complex data pipelines.

• Strong problem-solving skills and analytical mindset.

• Excellent communication skills for collaboration across technical and non-technical teams.

• Passion for continuous learning and data innovation.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $185,000 (commensurate with experience)
🎯 Bonus: Role-based variable incentive
💎 Benefits Include:

• Comprehensive health, dental, and vision coverage

• Paid vacation and holidays

• 401(k) retirement plan

• Wellness and family support programs

• Flexible hybrid work environment

🧩 Candidate Snapshot

• Experience: 5–7 years in data engineering or related field

• Key Skills: AWS Glue | Python | SQL | ETL | CI/CD | Snowflake | Data Modeling | Cloud Architecture

• Seniority Level: Mid–Senior

• Work Arrangement: 2–3 days onsite in Ridgefield, CT

• Travel: Occasional

🚀 Ready to power the future of data-driven healthcare?
Join a global data and AI team committed to harnessing the power of cloud and analytics to drive discovery, innovation, and meaningful impact worldwide.

Cloud Data Architect | AWS & Snowflake | Ridgefield, CT (Hybrid) | $170K–$210K

☁️ Cloud Data Architect

Before reading further, here are three non-negotiables that the client has made absolutely clear:

This is a Direct Hire (W2) permanent position. No C2C, no 1099, no third parties.

Candidates must NOT require sponsorship now or in the future. We can only consider US Citizens or Green Card holders who can work long-term without restriction.

The role is Hybrid — non-negotiable. You must be onsite 2–3 days per week in Ridgefield, CT, so candidates must already live within commuting distance or be willing to relocate.
(The good news: the company offers excellent benefits and is open to relocation support or a sign-on bonus for the right hire.)

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
🏢 Industry: Pharmaceutical / Biotech / Information Technology
🎓 Education: Bachelor’s degree in Computer Science, Information Technology, or related field (or 10+ years equivalent IT experience)
💼 Experience Level: Mid–Senior (7–10 years)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $170,000 – $210,000 base salary + benefits + potential performance bonus
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Join a global leader in life sciences as a Cloud Data Architect, driving innovation and digital transformation within the Enterprise Data, AI & Platforms organization.

In this role, you’ll design and implement scalable, secure, and intelligent cloud-based data architectures that power analytics, AI, and digital products across the business. You’ll partner with data leaders, business stakeholders, and cross-functional technology teams to shape how data is collected, managed, and transformed into actionable insights.

If you’re passionate about modern data ecosystems, cloud architecture, and leveraging AI-driven solutions to impact patient outcomes — this is an opportunity to make a global difference.

🧭 Key Responsibilities

• Design and implement efficient, scalable cloud-based data architectures that align with business and technology goals.

• Develop and optimize data models, schemas, and database designs supporting structured and unstructured data.

• Collaborate with business stakeholders, data domain owners, and data scientists to define data requirements and implement robust solutions.

• Lead data modernization projects and support cloud migration strategies using AWS technologies.

• Partner with governance teams to establish and maintain data policies, access frameworks, and sharing standards.

• Enhance data pipelines for ingestion, transformation, and integration of diverse datasets across domains.

• Provide technical leadership and mentorship to data engineering and development teams.

• Stay ahead of emerging data technologies, AI/ML innovations, and architectural best practices to drive continuous improvement.

🧠 Core Qualifications

✅ 7+ years in data management and architecture, including experience as a Data Architect.
✅ 5+ years hands-on experience with cloud platforms (AWS required) and enterprise data solutions.
✅ Proven track record leading cloud modernization or data transformation projects.
✅ Strong experience with AWS components (S3, Glue, Lambda), Snowflake, Apache Parquet, and SQL/NoSQL databases.
✅ Proficiency with ETL tools such as dbt, SnapLogic, and middleware integrations.
✅ Expertise in data modeling, data pipeline optimization, and semantic data structures.
✅ Experience developing Knowledge Graphs and semantic data models using ontologies and taxonomies.
✅ Understanding of AI/ML data pipelines, including use cases in NLP, recommendation engines, and predictive analytics.
✅ Deep knowledge of data governance, quality, and lifecycle management.
✅ Excellent communication and collaboration skills to effectively engage technical and business teams.

💡 Preferred Skills & Certifications

⭐ AWS Solutions Architect certification (Associate or Professional).
⭐ Familiarity with Innovator or similar enterprise architecture tools.
⭐ Experience within pharmaceutical or biotech industries — particularly in commercial data domains or GxP environments.
⭐ Strong analytical and problem-solving mindset, with the ability to defend and present technical design decisions.
⭐ Exposure to Agile/Scrum delivery models and distributed global teams.

💰 Compensation & Benefits

💵 Base Salary: $170,000 – $210,000 (commensurate with experience)
🎯 Bonus: Role-specific or performance-based
💎 Benefits Include:

• Comprehensive medical, dental, and vision coverage

• Paid time off, holidays, and flexible hybrid schedule

• 401(k) retirement plan with company match

• Wellness, family support, and professional development programs

• Global collaboration and mobility opportunities

🧩 Candidate Snapshot

• Experience: 7–10 years in data architecture and cloud systems

• Specialization: AWS Cloud | Data Modeling | ETL | Data Pipeline Design | Data Governance

• Certifications: AWS Solutions Architect (preferred)

• Seniority: Mid–Senior

• Work Arrangement: 2–3 days onsite in Ridgefield, CT

• Travel: Occasional

🌍 Why This Role Matters

This position sits at the heart of the company’s global data strategy — shaping how data is collected, structured, and leveraged to accelerate drug discovery, digital medicine, and patient outcomes. You’ll be part of a collaborative, innovation-driven environment where your work has a tangible impact on global healthcare advancements.

🚀 Ready to architect the future of cloud data innovation?
Join a team that’s transforming how data powers scientific breakthroughs and smarter decision-making — for patients, healthcare providers, and communities worldwide.

Data Engineer | Azure, Databricks, Python, SQL, Spark | Hybrid – Netherlands (€3,500–€5,000/month)

Data Engineer

📍 Location: Eindhoven area or Randstad, Netherlands (Hybrid – 3 office days / 2 home days)
💼 Employment Type: Full-time
💵 Salary: €3,500 – €5,000 per month (€45,360 – €64,800 annually)
🎯 Experience Level: Mid-level | 2–3 years’ experience

About the Role

Do you love working with data — from digging into sources and writing clean ingestion scripts to ensuring a seamless flow into a data lake? As a Data Engineer, you’ll design and optimize data pipelines that transform raw information into reliable, high-quality datasets for enterprise clients.

You’ll work with state-of-the-art technologies in the cloud (Azure, Databricks, Fabric) to build solutions that deliver business-critical value. In this role, data quality, stability, and monitoring are key — because the pipelines you create will be used in production environments.

Key Responsibilities

• Develop data connectors and processing solutions using Python, SQL, and Spark.

• Define validation tests within pipelines to guarantee data integrity.

• Implement monitoring and alerting systems for early issue detection.

• Take the lead in troubleshooting incidents to minimize user impact.

• Collaborate with end users to validate and continuously improve solutions.

• Work within an agile DevOps team to build, deploy, and optimize pipelines.

Requirements

• 🎓 Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

• 2–3 years of relevant experience in data ingestion and processing.

• Strong knowledge of SQL, Python, and Spark.

• Familiarity with container environments (e.g., Kubernetes).

• Experience with Azure Data Factory, Databricks, or Fabric is a strong plus.

• Experience with data model management and dashboarding (e.g., PowerBI) preferred.

• Team player with strong communication skills in Dutch and English.

• Familiarity with enterprise data platforms and data lakes is ideal.

What We Offer

• 💶 Salary: €3,500 – €5,000 per month

• 🌴 26 vacation days

• 🚗 Lease car or mobility budget (€600)

• 💻 Laptop & mobile phone

• 💸 €115 monthly cost allowance

• 🏦 50% employer contribution for health insurance

• 📈 60% employer contribution for pension scheme

• 🎯 Performance-based bonus

• 📚 Training via in-house Academy (hard & soft skills)

• 🏋️ Free use of on-site gym

• 🌍 Hybrid work model (3 days in office, 2 days at home)

• 🤝 Start with a 12-month contract, with option to move to indefinite after evaluation

Ideal Candidate

You are a hands-on data engineer who enjoys data wrangling and building robust pipelines. You take pride in seeing your code run smoothly in production and know how to troubleshoot quickly when issues arise. With strong technical skills in SQL, Python, and Spark, plus familiarity with cloud platforms like Azure, you’re ready to contribute to impactful enterprise projects.

👉 Ready to make data flow seamlessly and create business value? Apply now to join a passionate, innovation-driven team.

Data Engineer | Utrecht, Netherlands | AI Solutions & Data Architecture | €64,800 - €79,056

Title: Data Engineer
Location: Utrecht, Netherlands (Hybrid – 3 days in office, 2 days remote)
Visa Support: Not available
Relocation Support: Not available

Compensation & Benefits

• Annual Salary: €64,800 - €79,056 (€5,000 - €6,100 per month)

• Bonuses: 13th-month bonus included

• Vacation: 37 vacation days per year

• Pension Plan: Premium pension scheme with only 1% employee contribution

• Tech Essentials: Choose a laptop and mobile phone or receive a €30 monthly reimbursement

• Commuting Support: €0.23 per km travel allowance or 100% reimbursed NS Business Card

• Hybrid Work: €2.40 daily allowance for home working days

• Professional Development: €1,500 annual training budget

• Insurance: Discounts up to 10% on health insurance

Role Overview

As a Data Engineer, you will be responsible for designing, developing, and optimizing scalable data architectures to support AI applications. You will work closely with LLM engineers to build robust data pipelines, ensure secure data access, and bring innovative AI-driven solutions to life.

Key Responsibilities

• Design and maintain scalable data architectures for AI applications

• Build and manage data pipelines from diverse sources to a vector database in AWS

• Implement role-based access control and data security measures

• Monitor and optimize data processes using dashboards and logging tools

• Present results to stakeholders and contribute to AI-driven innovations

• Collaborate in Agile teams to deliver project milestones

Requirements

• Strong expertise in SQL, Python, and cloud environments (preferably AWS)

• Experience with structured and unstructured databases

• Familiarity with vector databases, semantic search, and data orchestration tools

• Understanding of Agile/Scrum methodologies

• Fluent English communication skills

• Experience in data architecture design, data governance, and integrating diverse data types

Nice-to-Have Skills

• Familiarity with AWS services

• Experience in the real estate sector

• Dutch communication skills

• Must be residing in the Netherlands at the time of application

Work Environment & Culture

• Informal, family-like working atmosphere

• Diverse teams with an inclusive culture

• Hybrid working model (office & home balance)

• Self-managing teams with freedom for innovation

Data Engineer – AI & Real Estate | Hybrid, Utrecht | €80K + 37 Vacation Days

Title: Data Engineer
Location: Utrecht, Netherlands (Hybrid – 3 days in office, 2 days remote)
Visa Support: Not available
Relocation Support: Not available

Compensation & Benefits

• Annual Salary: €64,800 - €79,056 (€5,000 - €6,100 per month)

• Bonuses: 13th-month bonus included

• Vacation: 37 vacation days per year

• Pension Plan: Premium pension scheme with only 1% employee contribution

• Tech Essentials: Choose a laptop and mobile phone or receive a €30 monthly reimbursement

• Commuting Support: €0.23 per km travel allowance or 100% reimbursed NS Business Card

• Hybrid Work: €2.40 daily allowance for home working days

• Professional Development: €1,500 annual training budget

• Insurance: Discounts up to 10% on health insurance

Role Overview

As a Data Engineer, you will be responsible for designing, developing, and optimizing scalable data architectures to support AI applications. You will work closely with LLM engineers to build robust data pipelines, ensure secure data access, and bring innovative AI-driven solutions to life.

Key Responsibilities

• Design and maintain scalable data architectures for AI applications

• Build and manage data pipelines from diverse sources to a vector database in AWS

• Implement role-based access control and data security measures

• Monitor and optimize data processes using dashboards and logging tools

• Present results to stakeholders and contribute to AI-driven innovations

• Collaborate in Agile teams to deliver project milestones

Requirements

• Strong expertise in SQL, Python, and cloud environments (preferably AWS)

• Experience with structured and unstructured databases

• Familiarity with vector databases, semantic search, and data orchestration tools

• Understanding of Agile/Scrum methodologies

• Fluent English communication skills

• Experience in data architecture design, data governance, and integrating diverse data types

Nice-to-Have Skills

• Familiarity with AWS services

• Experience in the real estate sector

• Dutch communication skills

• Must be residing in the Netherlands at the time of application

Work Environment & Culture

• Informal, family-like working atmosphere

• Diverse teams with an inclusive culture

• Hybrid working model (office & home balance)

• Self-managing teams with freedom for innovation

Business Analyst | SaaS, Data Analysis | Hybrid Work | Haarlem, NH

Business Analyst – Haarlem, NH (Hybrid Work Option)

About the Role
As a Business Analyst, you will collaborate closely with clients and internal stakeholders to understand their objectives, conduct in-depth data analyses, and provide valuable, actionable insights. With your data-driven approach, you will contribute to enhancing the work of our consultancy, customer care, and product development teams.

Ideal Candidate
We are looking for an experienced Business Analyst with:

• Strong analytical and conceptual skills, with the ability to collect, organize, analyze, and interpret large volumes of data with precision.

• Excellent logical reasoning, with the ability to translate complex data into models using tools like Excel and Power BI.

• Proven experience in data analysis and the creation of analytical reports.

• Previous experience working in a SaaS environment, particularly in accounting, financial, or administrative processes (preferred but not required).

• Ability to effectively collaborate with clients and colleagues across various disciplines.

• Strong communication skills, capable of explaining complex concepts in a clear and understandable manner.

• Ability to translate business requirements into concise user guides and functional specifications.

• Fluency in both Dutch and English, written and spoken.

Key Responsibilities

• Develop simulation models in collaboration with stakeholders to support product development, requirement definition, and testing.

Must-Have Skills

• Data Analysis

• Excel

• Power BI

• Dutch Language Proficiency

Preferred Skills

• SaaS Experience

• Analytical Thinking

• Strong Communication Skills

Experience Required

• 2 to 6 years of experience in a SaaS environment

Compensation & Benefits

• Annual Salary: €51,840 - €77,760

• Monthly Salary: €4,000 - €6,000

• Minimum hours per week: 40

• 26 vacation days per year (for full-time employees)

• Hybrid work model: Work from the office in Haarlem and remotely for part of the week

• Office lunches provided on in-office days; home office allowance for remote days

• Mobility allowance for commuting, with higher incentives for sustainable travel methods

• Comprehensive pension plan

• Professional development support, including training and courses

Additional Information

• Office Days: 3 days per week

• Remote Work: 2 days per week

• No visa sponsorship available

• No relocation support available

• Hybrid working environment

Business Analyst – Hybrid | Haarlem, NH

Business Analyst – Haarlem, NH (Hybrid Work Option)

About the Role
As a Business Analyst, you will collaborate closely with clients and internal stakeholders to understand their objectives, conduct in-depth data analyses, and provide valuable, actionable insights. With your data-driven approach, you will contribute to enhancing the work of our consultancy, customer care, and product development teams.

Ideal Candidate
We are looking for an experienced Business Analyst with:

• Strong analytical and conceptual skills, with the ability to collect, organize, analyze, and interpret large volumes of data with precision.

• Excellent logical reasoning, with the ability to translate complex data into models using tools like Excel and Power BI.

• Proven experience in data analysis and the creation of analytical reports.

• Previous experience working in a SaaS environment, particularly in accounting, financial, or administrative processes (preferred but not required).

• Ability to effectively collaborate with clients and colleagues across various disciplines.

• Strong communication skills, capable of explaining complex concepts in a clear and understandable manner.

• Ability to translate business requirements into concise user guides and functional specifications.

• Fluency in both Dutch and English, written and spoken.

Key Responsibilities

• Develop simulation models in collaboration with stakeholders to support product development, requirement definition, and testing.

Must-Have Skills

• Data Analysis

• Excel

• Power BI

• Dutch Language Proficiency

Preferred Skills

• SaaS Experience

• Analytical Thinking

• Strong Communication Skills

Experience Required

• 2 to 6 years of experience in a SaaS environment

Compensation & Benefits

• Annual Salary: €51,840 - €77,760

• Monthly Salary: €4,000 - €6,000

• Minimum hours per week: 40

• 26 vacation days per year (for full-time employees)

• Hybrid work model: Work from the office in Haarlem and remotely for part of the week

• Office lunches provided on in-office days; home office allowance for remote days

• Mobility allowance for commuting, with higher incentives for sustainable travel methods

• Comprehensive pension plan

• Professional development support, including training and courses

Additional Information

• Office Days: 3 days per week

• Remote Work: 2 days per week

• No visa sponsorship available

• No relocation support available

• Hybrid working environment

Azure Cloud Developer | Insurance | Princeton, NJ | $85/hr

Job Title: Azure Cloud Developer

Location: Princeton, NJ (On-site)
Experience Level: Mid-senior
Experience Required: 5 Years
Education Level: Bachelor’s Degree
Job Function: Information Technology
Industry: Insurance
Pay Rate: $85 per hour
Total Positions: 1
Relocation Assistance: Not available
Visa Sponsorship: Not available

Role Overview

We are seeking a skilled Azure Cloud Developer to support cloud development projects and create innovative data solutions for various business use cases. This role involves collaborating on cloud-based architecture designs, providing technical expertise throughout development phases, and delivering cutting-edge solutions to meet business requirements.

Key Responsibilities

• Design and develop solutions using Azure cloud-native technologies.

• Collaborate on solution architecture discussions and implementation strategies.

• Support all project phases, including analysis, design, development, and deployment.

• Develop and maintain CI/CD pipelines using tools like Azure DevOps and GitHub.

• Write and execute Unit, Integration, and System Testing using tools such as Postman and Fiddler.

• Work with backend databases and queuing technologies, including relational and NoSQL databases.

Technical Skills Required

• Proficient with Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Service Bus, Azure SQL Database, SQL, and Databricks.

• Knowledge of CI/CD tools (e.g., Azure DevOps, GitHub).

• Experience with backend databases (PostgreSQL, MongoDB) and Azure technologies such as Data Lake, Storage, API Management, and Active Directory.

Qualifications

• 3+ years of programming experience with JavaScript.

• 2+ years of experience in development using Azure services (e.g., Azure Data Factory, Logic Apps, Functions, and Service Bus).

• Hands-on experience with Agile/SCRUM methodologies.

• Strong problem-solving skills and the ability to work independently.

• Exceptional communication skills for collaborating with stakeholders.

Preferred Certifications

• Azure Fundamentals

• Azure Developer Associate

This version is streamlined and tailored to the key qualifications and requirements of the role.

Data Engineer Consultant | Hybrid | Netherlands | €77K–€88K + €3K Bonus

Job Title: Data Engineer Consultant

Location: Netherlands (Hybrid - 2 days office, 3 days home)
Industry: Data Engineering
Compensation: €77,472 - €87,840 per year (€3,200 - €4,000 monthly)
Monthly Bonus: €3,000
Working Hours: Minimum 36 hours per week
Vacation Days: 25
Mobility Budget: €450 monthly
Visa Sponsorship: Not Available
Languages Required: Fluent Dutch and English
Relocation Assistance: Not Available
Holidays: 25

Job Description

As a Data Engineer Consultant, your primary responsibility is to prepare data for analytical or operational use. You will build data pipelines to bring together information from different source systems. You will integrate, consolidate, and clean the data before structuring it for use in analytical applications.

While working on challenging assignments with our clients, we also focus on your professional growth. We believe in helping you discover and unlock your potential through coaching, training, and sharing knowledge. This enables you to continue developing as a professional and helps us serve our clients even better.

Ideal Candidate

The ideal candidate should possess deep knowledge of data engineering and data modeling, both conceptually and dimensionally. You should have experience with various cloud architectures, such as Microsoft Azure or AWS, and be familiar with working in Scrum, Agile, and DevOps methodologies. You should be proficient in technologies such as Databricks, Spark Structured Streaming, and PySpark, and be capable of translating user requirements into appropriate solutions. Additionally, you should be skilled in analyzing source data and designing effective data models.

Key Responsibilities

• Data Engineering: Build and maintain data pipelines, integrate data from various source systems, and structure it for analytical purposes.

• Data Modeling: Apply conceptual and dimensional data modeling techniques to ensure data can be leveraged effectively.

• Technology Application: Use Databricks, Spark, and PySpark to build robust data solutions.

• Collaboration: Work within Scrum and Agile teams to develop data solutions that meet business needs.

Skills & Qualifications

Must-Have Skills

• Data Engineering

• Data Modeling

• Scrum, Agile, DevOps methodologies

• Python

• MySQL

• Microsoft Azure

• Bachelor’s degree (HBO or equivalent)

• Fluency in Dutch

Preferable Skills

• Databricks

• Microsoft Power BI

• Azure Data Factory

• Data Vault

• Data Governance

• Bachelor’s degree in Data Science (BSc) or Computer Science (BSc)

• Data Engineering on Microsoft Azure (DP-203) certification

• Proficiency in English

Soft Skills

• Strong communication skills

• Adaptability

• Teamwork and collaboration

• Problem-solving abilities

• Self-driven and motivated

Experience

• More than 5 years of experience working in complex data environments at top 500 companies.

Compensation & Benefits

• Annual Salary: €77,472 - €87,840

• Monthly Salary: €3,200 - €4,000

• Monthly Bonus: €3,000

• Mobility Budget: €450

• Extra Benefits: Pension package, phone, expenses reimbursement, lease budget, and laptop.

Working Conditions

• Hybrid Work: 2 days in the office, 3 days remote

• Vacation: 25 days off per year

• Visa Sponsorship: Not available

• Relocation Assistance: Not available

• Working Hours: Minimum of 36 hours per week

Enterprise Analytics Manager, Houston, TX - $140,000 - $180,000

Enterprise Analytics Manager, Houston, TX
Full-Time, Permanent
$140,000 - $180,000
10/20% Bonus + Benefits

MINIMUM QUALIFICATIONS

Education:

• Bachelor’s Degree in Information Systems, Computer Science, Data Science, Business Analytics, or equivalent experience required.

Licenses/Certifications:

• None required.

Experience / Knowledge / Skills:

• Minimum of five (5) years of experience in analytics and information systems, including at least three (3) years in a leadership role.

• Strong oral and written communication skills.

• Customer-focused with a collaborative mindset.

• Results-oriented, capable of thriving in a fast-paced environment and managing multiple projects.

• Excellent interpersonal and time management skills.

• Familiarity with business intelligence tools, data science tools, and dashboard software, including but not limited to:

• Database and Query Languages: SQL, Nomad, Oracle, Vertica, Snowflake

• Visualization Tools: Tableau (preferred), Spotfire, Sisense, Qlik, Microsoft Power BI

• Data Visualization Server Admin Tools: Tableau Core, Data Management Server

• Data Prep/Transformation Tools: Tableau Prep, Hadoop, Alteryx, Trifacta, Talend

• Statistical Tools: R, SAS, SPSS, Matlab, Minitab

• Data Science Tools: Python, R, SAS, dataiku, DataRobot, Anaconda

PRINCIPAL ACCOUNTABILITIES

• Align departmental initiatives with organizational goals to support strategic objectives.

• Lead, motivate, and oversee teams responsible for data collection, modeling, analysis, and insights to drive value.

• Foster transparent communication through departmental and cross-functional meetings with key stakeholders.

• Manage resource needs and promote professional growth within the team by setting and tracking performance goals and development plans.

• Oversee and prioritize analytics requests, strategically managing timelines, deliverables, and resource allocation.

• Collaborate with executive leadership to deliver data-driven insights that align with enterprise goals and priorities.

• Monitor and manage budgets related to analytics projects or operations.

• Serve as an advisor to leadership on analytics strategy and data-driven decision-making.

• Build and maintain relationships with internal and external customers, vendors, and regulatory agencies.

• Oversee the design and delivery of analytics solutions that enable informed decision-making through operational metrics.

• Provide timely updates and executive summaries to leadership and stakeholders.

• Act as a mentor and coach, fostering a culture of collaboration and continuous improvement.

• Establish quality controls and standards to meet organizational expectations and regulatory requirements.

• Ensure compliance with policies, including security, access control, and data privacy standards (e.g., HIPAA).

• Manage foundational analytics tools and systems, ensuring availability, growth, and support.

• Administer and oversee the onboarding of data into the Enterprise Data Warehouse Platform, as well as third-party data submissions.

• Support the growth of analytics capabilities across the organization by promoting transparency and usage of existing tools and products.

• Mentor and train analytics user groups in tools such as Tableau, Business Objects, and SQL.

• Encourage adoption of data-driven decision-making through existing analytical products.

OTHER EXPECTATIONS

• Adhere to organizational policies, procedures, and standards related to quality, productivity, and resource management.

• Promote professional growth through continuing education and skills development.

• Serve as a mentor and resource for less experienced staff.

• Demonstrate a commitment to personalized and efficient service for all stakeholders.

Other duties as assigned.

This version removes specific organizational references and rewrites certain sections to ensure uniqueness. Let me know if additional adjustments are needed!

Global Head of Commercial Data Foundations (VP Level) - Cambridge, MA - $300,000 - $380,000

Global Head of Commercial Data Foundations (VP Level)
Cambridge, MA
$300,000 - $380,000

Job Description

We are committed to delivering next-generation solutions in healthcare, leveraging data insights and responsibly applying AI to drive deeper understanding and faster solutions. The Global Head of Commercial Data Foundations is a critical leadership role responsible for developing and implementing the overall strategy for Commercial Data Foundations, as well as managing all related digital and data products.

Key Responsibilities

• Commercial Data Strategy: Define and execute the strategy for Commercial Data Foundations, ensuring alignment with business priorities and evolving market ecosystems.

• Standardization and Efficiency: Promote simplification, harmonization, and efficiency within the data platform landscape through convergence and integration.

• Future-Ready Solutions: Design strategies to prepare the organization for evolving commercial needs, enabling high-value, data-driven use cases.

• Product Development: Build and manage a portfolio of digital products to enhance Commercial Data Foundations, ensuring scalability and global distribution.

• Collaboration: Work closely with data Centers of Excellence and advanced analytics/AI teams to optimize data tools, platforms, and technologies.

• Data Governance: Partner with data governance leaders across business units to enable robust governance practices.

• Leadership: Oversee a Commercial Data Engineering Center of Excellence, fostering innovation and operational excellence.

Qualifications

• Education: Bachelor’s or advanced degree in Computer Science, Data Science, Information Technology, Statistics, or Business Administration with a focus on Information Systems.

• Experience:

• Proven success in leading digital and technology initiatives within matrix organizations.

• Demonstrated ability to build and manage high-performing teams in diverse markets.

• A strong track record in creating and scaling digital solutions globally.

• Language: Fluency in oral and written English.

Technical Skills

• Data Management: Proficiency in relational databases (e.g., SQL, NoSQL, Graph/Vector Databases) and Data Lakes.

• Data Visualization: Experience with tools like Tableau, Power BI, or Qlik.

• Integration: Expertise in data integration tools (e.g., IICS) and combining data from diverse sources.

• Cloud Platforms: Familiarity with leading cloud environments.

Why Join Us?

• Growth Opportunities: Foster your career development through promotions, lateral moves, and international roles.

• Comprehensive Benefits: Access a robust rewards package, including healthcare, wellness programs, and parental leave.

• Inclusive Culture: Join a diverse team united by a shared mission to drive progress and deliver extraordinary results.

Equal Opportunity

We are dedicated to creating a culturally inclusive and diverse workplace. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Data Systems Engineer - Springdale, AR - Full-Time, Permanent/W2 - $70,000 - $85,000

Organization Description

Springdale is a part of the Northwest Arkansas (NWA) metropolitan area and region within the Ozark Mountains. Nearby cities include Fayetteville, Rogers, and Bentonville. It is the 13th fastest growing metropolitan area in the United States. Growth is driven by several Fortune 500 companies, including the company, as well as over 1,300 suppliers and vendors drawn to the region by these large businesses. NWA amenities include the Crystal Bridges Museum of American Art, Walmart AMP and Razorback Regional Greenway. 

Our Springdale facility is located in the 4th largest city in the state of Arkansas. Located in both Washington and Benton counties, our city is a diverse and friendly community. Catch a ride on the beautifully restored Arkansas and Missouri Railroad or visit the Shiloh Museum of Ozark History. Outdoor enthusiasts flock to the scenic waters of Beaver Lake for water sports and relaxation, and the multitude of parks and trails of the Ozarks. Home to the Randal Tyson Recreational Complex and the Botanical Gardens of the Ozarks, Springdale offers many unique world-class attractions. See more about Springdale here: explorespringdale.com.

Employer Description

Our company, a Fortune 500 company, is a leading provider of aluminum sheet, plate and extrusions, as well as innovative architectural products, that advance the automotive, aerospace, commercial transportation, industrial and building and construction markets. Building on more than a century of innovation, the company helps to transform the way we fly, drive, and build. We are proud that 77% of our employees are happy working for the company and would recommend it as a great place to work and that 80% of our employees would recommend their managers to others. 

We live our core values and commit to delivering sustainable value to our customers, our employees, our communities and our stakeholders. 

At our company, we: 

Act With Integrity. 

We lead with respect, honesty, transparency and accountability. 

Safeguard our Future. 

We protect and improve the health and safety of our employees, communities and environment. 

Grow Stronger Together. 

We cultivate an inclusive and diverse culture that advocates for equity. 

Earn Customer Loyalty. 

We build customer partnerships through best-in-class products and service. 

Drive Operational Excellence. 

We pursue continuous improvement through innovation, agility, people development and collaboration. 

Create Value. 

We achieve success by generating and growing value for our stakeholders. 

United States Equal Employment Opportunity Statement

Our company is an equal opportunity employer that is committed to inclusion and diversity. We take action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Job Description

Our company is currently in search of a Data Systems Engineer to join our Kawneer Team in Springdale, AR.

At our company, we are looking for people who share our values of integrity, inclusion, and diversity, and who demonstrate agility, results commitment, and the capability to grow themselves and others. In return, we offer the opportunity to Grow Together with ongoing opportunities for professional growth provided by a constantly changing environment, working alongside employees who value the people they work with just as much as the work they do.

Job Description

This position is accountable for the development of data analytic strategies and systems capable of increasing the efficiency and problem-solving capabilities within BCS.

Description - External

Organize, construct, and deploy systems capable of analyzing and displaying large amounts of data in formats that meet the organizational requirements.

Lead technical projects with diverse teams while staying on-time and within budget.

Communicate processes and findings effectively at all levels of the organization.

Engage the organization deeper into problem solving efforts utilizing performance metrics, cost components, quality data, design parameters, machine parameters, process characteristics, etc., using various tools including but not limited to:

Business Intelligence Suites

Databases

Reporting Tools

Statistical Analytical Software

Perform “what if” analysis and communicate recommendations to both operational and IT leaders.

Collaborate with other Engineers and IT resources to maximize use of manufacturing systems.

Identify and correct data limitations (e.g. signal / noise ratio, sample size, inconsistencies, missing values, corruption, etc.).

Design and implement dashboards and key metric scorecards.

Determine potential causes of problems and devise data testing methodologies for validation.

Search and probe questions with peers and process experts that ultimately leads to action and recommendations.

Guide and direct small teams to achieve project objectives including the set up and execution of smart manufacturing deployment across multiple locations. 

Streamline and improve existing data analytics tools within the continuous improvement processes and systems.

Use data, best practices and Kaizen methodologies to increase process efficiency and reduce operational cost.

Qualifications

Basic Qualifications:

Bachelor’s Degree required.

Minimum of 2 years of experience with data systems processes and improvement strategies

At least 1 year experience in one or more of the following: Matlab, Statistics and Machine Learning, Neural Networks, R, Capstone DataPARC, modeFrontier, Azure, Power BI, Crystal Reports, SQL, SQL Report building Software, .Net or equivalents.

At least 1 year Microsoft Office experience especially with Teams, Excel and Powerpoint

Legally authorized to work in the US without company sponsorship provided. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. 

Preferred Qualifications:

Bachelor’s Degree in Engineering, Data Science or related field.

Experience in various data systems and the ability to tailor and present data analytics methods and findings to leadership to drive effective decision making.

Strong analytical and problem-solving skills with the ability to develop and use structured approaches to identify root causes and recommend solutions.

Good verbal and written communication skills.

Experience with SMART Manufacturing or Industry 4.0.

To Apply, Please Complete the Form below;

Senior Data Engineer - London - Full Time Perm Hybrid - Base Salary - GBP £70,000 to £90,000

Senior Data Engineer

London

FullTime Perm Hybrid

Base Salary - GBP £70,000 to £90,000

BOUNTY DESCRIPTION

Skimlinks, a Connexity and Taboola company, drives e-commerce success for 50% of the Internet’s largest online retailers. We deliver $2B in annual sales by connecting retailers to shoppers on the most desirable retail content channels. As a pioneer in online advertising and campaign technology, Connexity is constantly iterating on products, solving problems for retailers, and building interest in new solutions.

We have recently been acquired by Taboola to make the first Open-Web Source for Publishers connecting editorial content to product recommendations, where readers can easily buy products related to stories they are reading.

Skimlinks, a Taboola company, is a global e-commerce monetization platform, with offices in LA, London, Germany, and NYC. We work with over 60,000 premium publishers and 50,000 retailers around the world helping content producers get paid commissions for the products and brands they write about.

About the role

We are looking for a Senior Data Engineer to join our team in London. We are creating a fundamentally new approach to digital marketing, combining big data with large-scale machine learning. Our data sets are on a truly massive scale - we collect data on over a billion users per month and analyse the content of hundreds of millions of documents a day.

As a member of our Data Platform team your responsibilities will include:

• Design, build, test and maintain high-volume Python data pipelines.

• Analyse complex datasets in SQL.

• Communicate effectively with Product Managers and Commercial teams to translate complex business requirements into scalable solutions.

• Perform software development best practices.

• Work independently in an agile environment.

• Share your knowledge across the business and mentor colleagues in areas of deep technical expertise.

Requirements:

Here at Skimlinks we value dedication, enthusiasm, and a love of innovation. We are disrupting the online monetization industry, and welcome candidates who want to be a part of this ambitious journey. But it is not just hard work, we definitely appreciate a bit of quirkiness and fun along the way.

·        An advanced degree (Bachelor/Masters) in computer science or a related field.

• Solid programming skills in both Python and SQL.

• Proven work experience in Google Cloud Platform or other clouds, developing batch (Apache Airflow) and streaming (Dataflow) scalable data pipelines.

• Passion for processing large datasets at scale (BigQuery, Apache Druid, Elasticsearch)

• Familiarity with Terraform, DBT & Looker is a plus.

• Initiatives around performance optimisation and cost reduction.

• A commercial mindset, you are passionate about creating outstanding products.

Voted “Best Places to Work,” our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California, the company operates sites and business services in the US, UK, and EU. We offer top benefits including Annual Leave Entitlement, paid holidays, competitive comp, team events and more!

• Healthcare insurance & cash plans

• Pension

• Parental Leave Policies

• Learning & Development Program (educational tool)

• Flexible work schedules

• Wellness Resources

• Equity

We are committed to providing a culture at Connexity that supports the diversity, equity and inclusion of our most valuable asset, our people. We encourage individuality, and are driven to represent a workplace that celebrates our differences, and provides opportunities equally across gender, race, religion, sexual orientation, and all other demographics. Our actions across Education, Recruitment, Retention, and Volunteering reflect our core company values and remind us that we’re all in this together to drive positive change in our industry.

SKILLS AND CERTIFICATIONS [note: bold skills and certification are required]

·        Airflow

·        Python

·        SQL

·        GCP

·        BigQuery

·        Data pipelines

To Apply Please Complete the Form Below

It System Analyst - Lancaster, PA - Full TIme Perm - Base Salary - USD $80,000 to $95,000

It System Analyst

Lancaster, PA

Full TIme Perm

Base Salary - USD $80,000 to $95,000

Job Description

Our company is currently in search of IT System Analyst-AS/400-Synon to join our Rolled Products Business Unit Team in Lancaster, PA.

At our company, we are looking for people who share our values of integrity, inclusion, and diversity, and who demonstrate agility, results commitment, and the capability to grow themselves and others. In return, we offer the opportunity to Grow Together with ongoing opportunities for professional growth provided by a constantly changing environment, working alongside employees who value the people they work with just as much as the work they do.  

Responsibilities

Primary Responsibilities

·        Develop, analyze, design, and support the AS/400 application systems that support the business processes.

·        Perform problem analysis on functional and technical issues related to application software.

·        Provide effective and timely communication to the end-user community and IT team.

·        Support customers by responding to help calls issues.

·        Develop technical documentation for IT and business processes.

·        Develop departmental training related to department or business processes.

·        Develop an in-depth understanding of the Lancaster business processes and a general understanding of the company's GRP business.

·        Adhere to all company compliance rules and conduct the regular activities we perform for our business applications (e.g. participating and supporting audit, supporting month-end closing, etc.)

·        Execute above responsibilities within the corporate strategy, guidelines, and policies.

Key Objectives 

·        Collaborate with our business customers to maintain an effective relationship to keep alignment with their business application priorities.

·        Align work tasks to support and maintain department metrics and goals.

·        Completed IT work requests and resolve customer help calls to the established department metric.

·        Maintain and enhance departmental application documentation.

·        Conduct departmental training session related to departmental processes, software applications and business processes.

·        Comply with all ASAT and audit requirements regarding relevant and applicable matters.

·        Collaborate effectively and professionally with IT team members and business customers.

·        Provide 24 x 7 support for the Lancaster plant on a rotational basis.

Qualifications

·        3+ years’ minimum experience in AS/400 platform and Synon programming language.

·        Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

·        This position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as a U.S. citizen, U.S. Permanent Resident (i.e. ‘Green Card Holder), Political Asylee, or Refugee.

Preferred Qualifications 

·        Bachelor’s degree in Computer Science, Business, Mathematics, or related field from an accredited institution.

·        5+ years of business systems analysis and support experience

·        5+ year of development in AS/400 platform and Synon programming language

·        High level of application development and support skills; good knowledge of application support process and IS infrastructure.

·        Strong communication skills

·        Problem management experience

·        Strong affinity with business processes in a manufacturing, sales and financial environment

Logistics Process and BI Manager - USA, Charlotte NC and Hartsville SC - $110,775 - $155,500

Logistics Process and BI Manager

USA, Charlotte NC and Hartsville SC

$110,775 - $155,500

Job Description

Reporting directly to the Director, Logistics Category Management, Purchasing and Network Optimization as a Logistics Process and BI Manager you will be responsible to develop and lead the execution of the process improvements, Business and Financial intelligence, and accounts payables of the corporate logistics function. This role will also be responsible for maintaining the database of cost savings initiatives, process improvement projects, and internal metrics around productivity and inflation.  This role will report to the Director of Global Logistics and have 5 direct reports. The role will support roughly 250 manufacturing plants, Greater than $400M in spend, and over 6,000 unique trade lanes.

What you’ll be doing:

·        Lead the implementation and adoption of logistics systems globally to include an OTM implementation project in Europe, CASS rollout, acquisition integrations, and Qlik BI development.

·        Aid in the development of the logistics KPI’s and Metrics in order to drive cost management, capacity management, and vendor management.

·        Provide leadership to the organization on logistics processes and the tools used to manage those processes.

·        Assist in developing the long-term strategy for the logistics department to include the logistics strategy in Europe driving a culture of collaboration, thought leadership, and personal development.

·        Drive the continuous improvement mindset by learning, presenting, and driving the implementation of emerging technologies such as RPA and API connectivity.

·        Act as the primary liaison between the Logistics Organization and the IT organization.

·        Partner with Transportation Operations, Logistics Sourcing, and various stakeholders across multiple business units to provide cross functional support and drive logistics process improvements.

·        Manage the relationships with external consultants, contractors, and vendors as appropriate.

We'd love to hear from you if:

·        Bachelor’s Degree in Finance/Accounting, Supply Chain/Logistics, Business Information Systems, or relevant business discipline, Master’s/MBA preferred.

·        Minimum of 10 years of experience with preference given to Logistics/Transportation experience.

·        Strong knowledge and experience using an integrated transportation management system with a preference given to OTM.

·        Proven ability to lead and develop personnel, both directly and indirectly.

·        Ability to communicate cross functionally and all levels in an organization.

·        Strong business acumen with a strong understanding of accounting and finance principles.

·        Ability to work independently on concurrent project.

·        Knowledgeable in the development of BI platforms and experienced in data analytics/data mining and MS applications.

·        Experience with transportation/logistics/supply chain analytics strongly preferred

Compensation:

The annual base salary range for this role is from $110,775 to $132,930, plus annual target bonus of 12.5% of base salary.

An annual bonus is awarded to eligible employees upon attaining various business and individual goals as defined by the Company and the department leader. This annual bonus is discretionary, and the Company has sole discretion to determine the amount of the award.

AWS Cloud Engineer III - USA, Remote - $139,000 - $152,000

AWS Cloud Engineer III

USA, Remote

$139,000 - $152,000

Job Description

The AWS Cloud Engineer 3 role will be responsible for all technological and operational duties associated with AWS cloud computing; including design, planning, management, optimization, maintenance, and support. The candidate should have strong experience and understanding of public cloud technologies, specifically Amazon Web Services (AWS). The Cloud Engineer 3 will provide value and be a primary source of knowledge in building secure, compliant, reliable, and cost-effective AWS solutions. Team members in this role will administer, maintain, and ensure technologies are available and can support the critical needs of the business. Strong communication skills and the ability to build/maintain/grow new relationships will ensure you can execute effectively in this role.

ESSENTIAL RESPONSIBILITIES / DUTIES:

The AWS Cloud Engineer 3 role will be responsible for all technological and operational duties associated with AWS cloud computing; including design, planning, management, optimization, maintenance, and support. The candidate should have strong experience and understanding of public cloud technologies, specifically Amazon Web Services (AWS).

·        Define, document, and implement our policies for cloud-based systems (Landing Zone, Control Tower, IAM, Config, SCP)

·        Documenting changes and workflow in an Agile environment (Jira, Confluence, Jira SM)

·        Clearly communicating with IT and non-IT professionals to ensure effective use of all cloud services

·        Review AWS Cost Explorer, CloudHealth, Trusted Advisor and other tools to provide optimization of all resource use/cost.

·        Strong ability to learn new technologies quickly and in a fast-paced environment

·        Ability to drive and assist in the implementation of services to standardize cloud environment

·        Ability to assess on-premises workloads and profile requirements needed to support in AWS

(The above statements in this job description are intended to depict the general nature and level of work assigned to the employee(s) in this job.  The above is not intended to represent an exhaustive list of accountable duties and responsibilities required).

EDUCATION:

Bachelor’s degree in Computer Science, Engineering, or related discipline; equivalent experience acceptable.

EXPERIENCE:

·        5-7 years related work experience required in as an IT Systems Engineer with at least 3-4 years working exclusively on AWS.

·        Minimum 3 years of experience with AWS Cloud Services (S3, EC2, RDS, VPC, KMS, SNS, etc.)

·        AWS Certifications, Cloud Practitioner, PLUS Associate or Professional level Architect a plus

·        Healthcare domain knowledge and working in regulated environments is a plus (HIPAA, HITRUST, SOC2)

KNOWLEDGE AND SKILLS:

·        Experience with monitoring systems such as CloudWatch and other industry standard visibility platforms (DataDog, Dynatrace, New Relic, etc.)

·        Experience with Logging and log monitoring (CloudWatch and CloudTrail) both for performance, security, and compliance efforts

·        Proficiency with one or more scripting languages (python, json, yaml, bash, etc.)

·        Proficiency with Infrastructure as Code (IaC), including CloudFormation and/or Terraform

·        Understanding of CI/CD on AWS platform

·        Expert knowledge of AWS network and security features (VPC, Security Groups, NACLs, ALB/NLB, Transit Gateway, etc.)

·        Experience building applications with native services and serverless architecture (Lambda) on AWS platform

·        Strong understanding of Identity and Access Management (IAM), SSO Integration

·        Strong understanding of high-availability solutioning (multi-AZ / regions, Backup, Snapshotting, archiving)

·        Demonstrated history of moving mission-critical applications from the datacenter to AWS

·        Decision Making: Ability to make decisions that are guided by precedents, policies, and objectives. Regularly makes decisions and recommendations on issues affecting a department or functional area.

·        Problem Solving: Ability to address problems that are highly varied, complex, and often non-recurring, requiring staff input, innovative, creative, and Lean diagnostic techniques to resolve issues.

·        Ability to effectively adapt to rapidly changing technology and apply it to business needs

·        Understanding of the enterprise business and business processes

·        knowledge of business unit functions and cross-group dependencies/relationships

·        Ability to anticipate user requirements and identify and resolve complex problems with minimal supervision

·        strong customer service and communications skills

·        Good judgment and analytical skills

·        Strong follow-up and organizational skills.

·        Ability to assess internal and external communication practices, anticipate future network requirements, and research and analyze emerging technologies.

Lead Workday Business Systems Analyst - USA, Huston TX - $135,000 - $145,000

Lead Workday Business Systems Analyst

USA, Huston TX

$135,000 - $145,000

Job Description

As a Lead Business Systems Analyst (Workday), you will use your subject-matter expertise to develop, maintain and support the Workday application along with other HR-related applications, and our HR data and reporting needs. The role will be responsible to automate and improve system processes, workflows and reporting to maximize efficiency and improve user experience. The individual will participate in the design, configuration and modification of business processes along with the implementation of additional modules within Workday. The individual will have responsibility for the successful implementation, integration, configuration, and support of Workday applications from project initiation to production roll-out. The successful candidate will have business analyst experience gathering requirements, designing, delivering, and supporting business transformation using Workday in areas of HCM, Compensation, Performance & Goals Management, Talent Management, Benefits, Absence Management, Recruiting, and System Security.

*THIS IS A HYBRID WORK MODEL.  LOCAL CANDIDATES OR WILLING TO RELOCATE TO HOUSTON, TX AT YOUR OWN EXPENSE.

Minimum Qualifications

·        Education: Bachelor’s degree, in Information Technology, Business Administration or HR

·        Licenses/Certifications: Workday Certification on HCM, Advanced Business Process Administration

Experience / Knowledge / Skills:

·        Five (5) years of professional experience implementing and/or supporting HR systems, with three (3) years of experience configuring and implementing Workday HCM.

·        Extensive experience in Workday configuration, business processes, Reporting (including scorecard and dashboards) and security setup

·        A detailed understanding of integration systems and related security

·        Advanced computer skills required; strong knowledge of Microsoft Office; advanced knowledge of Excel (e.g., formulas, pivot tables, macros).

·        Strong problem solving & data analysis skills and data audit experience.

·        Strong customer orientation, time management, organizational and interpersonal skills, including written and verbal communication skills.

·        Self-motivated, creative and adaptable with clearly analytical, problem solving, organizational, and interpersonal skills.

·        Ability to work effectively in a fast-paced environment and handle both planned and unplanned responsibilities

·        Ability to work in a team-oriented, collaborative environment

·        Functional knowledge on Workday modules including Absence, Benefits, Compensation, Core HR, and Talent

Demonstrates commitment to the Partners-in-Caring process by integrating our culture in all internal and external customer interactions; delivers on our brand promise of “we advance health” through innovation, accountability, empowerment, collaboration, compassion and results while ensuring one company.

Principal Accountabilities

·        Perform Workday administrative functions: security maintenance, business process configuration, tenant configuration, data loads, integrations and upgrades.

·        Provide day-to-day operational support for HR systems, including researching issues, unexpected results or process flaws and recommending solutions or alternate methods to meet system and workflow requirements.

·        Plan and drive bi-annual Workday releases and other system releases or patches; determine impact, participate in regression testing for new system features and communication of changes/benefits to end users.

·        Partner with COEs and drive requirement gathering, business process review, solution design, project management, testing, training, and document functional specifications.

·        Identify future Workday system enhancements or functionality that may be beneficial to the Firm. Identify strategies, risks, and options, recommend approaches and mitigations to meet client/functional requirements. Drive adoption through company-wide education and communication.

·        Maintain proper change management documentation to satisfy the company’s internal/external audit controls. Ensure that procedures are followed and adequate internal controls are maintained.

·        Work on special projects as assigned.

·        Ensures safe care to patients, adhering to policies, procedures, and standards, within budgetary specifications, including time management, supply management, productivity, and accuracy of practice.

·        Promotes individual professional growth and development by meeting requirements for mandatory/continuing education, skills competency, supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor, and resource to less experienced staff.

·        Other duties as assigned.