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.

Senior Revenue Cycle Business Analyst – Remote USA | Epic Clarity Certified

Senior Revenue Cycle Business Analyst
Remote | Full-Time | United States

This is an exciting opportunity for a highly analytical and technically advanced Revenue Cycle professional to join a forward-thinking healthcare organisation driving innovation across enterprise analytics and operational performance.

Ideal for candidates with deep expertise in Epic Clarity, healthcare billing data, and business intelligence technologies, this role offers the chance to influence strategic decision-making through advanced analytics, predictive modelling, and enterprise reporting initiatives.

This is a fully remote opportunity, providing flexibility while working on high-impact projects within a complex healthcare environment.

The Opportunity

Reporting into senior analytics leadership, you will play a key role in developing and delivering enterprise-level Revenue Cycle reporting, insights, and data solutions that directly support operational strategy and financial performance.

You will:

• Design, develop, test, and deploy enterprise reporting solutions and dashboards

• Analyse complex hospital and professional billing datasets to drive operational insight and accountability

• Collaborate with business leaders, analysts, and stakeholders to define analytical requirements and reporting strategies

• Develop predictive and prescriptive analytics models supporting denials management, AR optimisation, and cash forecasting

• Build and maintain certified datasets serving as the central source for Revenue Cycle KPI reporting

• Leverage SQL, Tableau, Crystal Reports, and advanced analytics tools to support enterprise decision-making

• Lead or contribute to strategic analytics and data governance initiatives

• Translate complex analytical findings into concise executive-level presentations and recommendations

• Drive continuous improvement and modernisation across reporting and business intelligence capabilities

Compensation & Benefits

• Salary: $78,000 – $113,000

• Schedule: Full-Time

• Location: Fully Remote within the United States

• Sign-On Bonus: Not offered

• Relocation Assistance: Not required

Comprehensive Benefits Package Includes:

• Medical, Dental, and Vision Insurance

• Life Insurance

• Retirement Plan

• Generous Paid Time Off

• Additional wellbeing and professional development programs

What Makes This Role Stand Out

• Fully remote opportunity with strong work-life flexibility

• High visibility across Revenue Cycle and Analytics leadership teams

• Opportunity to work with enterprise-scale healthcare data environments

• Exposure to advanced predictive analytics and business intelligence initiatives

• Strong focus on innovation, data governance, and operational transformation

• Collaborative culture that values analytical thinking, continuous improvement, and strategic impact

Candidate Profile

Essential Requirements:

• Epic Revenue Data Model (Clarity) Certification

• 3+ years of Revenue Cycle, managed healthcare, or insurance operations experience

• Strong understanding of Hospital Billing and Professional Billing data

• Advanced expertise with SQL, Tableau, and Crystal Reports

• Strong knowledge of relational databases, data modelling, and OLAP technologies

• Bachelor’s degree in Health Informatics, Finance, or related field

Preferred Qualifications:

• Master’s degree in Health Informatics, Business, Public Health, or related field

• Experience developing standardised Revenue Cycle KPI datasets and governance frameworks

• Experience building predictive analytics and root cause analysis models

• Exceptional communication and stakeholder engagement skills

• Strong analytical mindset with the ability to work independently in fast-paced environments

This is an excellent opportunity for a Senior Revenue Cycle Analyst seeking a role that combines advanced analytics, enterprise visibility, technical innovation, and meaningful operational impact within a complex and evolving healthcare environment.

Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility

Lead Data Scientist

Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility

About the Role

We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.

What You’ll Do

• Lead high-visibility projects that directly influence business strategy and decision-making.

• Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.

• Translate technical insights into clear, compelling stories for executive-level audiences.

• Mentor and coach junior data scientists, elevating the technical capabilities of the team.

• Research and implement cutting-edge machine learning techniques to improve operational performance.

• Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.

• Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.

What You Bring

• 7+ years of professional experience in data science, with proven project leadership.

• Strong background in machine learning, advanced statistical modeling, and SQL database management.

• Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.

• Demonstrated ability to design scalable solutions using AWS (certification required).

• Hands-on expertise in Cogito and other data management platforms.

• Exceptional communication skills – able to engage both technical teams and executive stakeholders.

• A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.

Interview Process

1. Recruiter Interview

2. Hiring Manager Interview

3. Panel Interview

Why Join Us?

Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.

We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.

Benefits at a Glance

• Comprehensive medical, dental, and vision insurance

• Life insurance and retirement plans

• Equity opportunities

• Generous paid time off

• Flexible work-from-home options

Sr. Director, AI & Data Science | $190K–$300K + Bonus | Wayzata, MN (Hybrid)

Sr. Director, AI & Data Science

📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate

About the Company

Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.

Job Purpose

The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.

The leader will:

• Champion responsible AI practices (governance, risk mitigation, ethics).

• Deliver measurable business outcomes from AI investments.

• Lead and scale a global team of data scientists (transitioning from regional to global scope).

Key Responsibilities

• Partner with business leaders to identify and accelerate AI opportunities.

• Translate complex AI concepts into business-focused narratives for executives.

• Provide strategic oversight of AI product delivery (scope, timeline, budget).

• Champion innovation, continuous improvement, and AI adoption across the business.

• Develop a community of practice for global data scientists to drive reuse and alignment.

• Build and maintain strategic partnerships and alliances to maximize value.

• Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.

• Manage large budgets, ensure measurable ROI, and deliver against business value targets.

Minimum Qualifications

• Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).

• 8+ years of related work experience.

• Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.

• Proven ability to present complex AI solutions to non-technical audiences.

Preferred Qualifications

• Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.

• 5+ years of leadership experience (managing teams of data scientists).

• Experience driving enterprise-wide analytics adoption.

• Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.

• Background in software development/version control.

• Strong business acumen and experience presenting to senior executives.

• Experience in Agriculture or related industries is a plus.

Compensation & Benefits

💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)

Candidate Profile

• 7–10+ years’ experience in AI, Data Science, and Analytics.

• Proven ability as a strategic champion to drive AI adoption at scale.

• Leadership experience managing diverse data science teams.

• Strong emotional intelligence (EQ) and collaborative leadership style.

• Comfortable influencing senior executives and non-technical stakeholders.

✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional

Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

• Lead platform upgrades to ensure products remain cutting-edge and effective.

• Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

• Optimize data pipelines and access patterns for performance and scalability.

• Troubleshoot and resolve runtime and performance challenges.

• Architect robust, scalable, and user-friendly applications designed for long-term growth.

• Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

• Languages & Tools: Python (primary), Docker, Git

• Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

• Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
✅ Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
✅ U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

• Experience in defense-related applications.

• Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

• Strong written and verbal communication.

• Pragmatic approach with a focus on delivering incremental value.

• Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available

👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world 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

Data Scientist (TS/SCI W/Poly) – Fort Meade, MD | $185K Salary

Job Title: Data Scientist, TS/SCI W/Poly – Fort Meade, MD - $185,000

Experience Level: Mid-senior
Experience Required: 3 Years
Education Level: Bachelor’s Degree
Job Function: Information Technology
Industry: Defense & Space
Compensation: Up to $185,000
Total Positions: 1
Relocation Assistance: Not available
Visa Sponsorship: Not available
Clearance Required: TS/SCI with Polygraph (Full Scope Poly preferred)

Position Overview

This role involves working in a dynamic environment, applying advanced data science techniques to address complex challenges. You will be part of a dedicated team providing data-driven solutions to support the Intelligence Community. This position emphasizes the development and integration of innovative analytical tools and techniques to meet evolving client needs.

If you are passionate about solving challenging problems, honing your technical expertise, and contributing to critical missions, this role offers excellent opportunities for professional growth.

Primary Responsibilities

• Conduct advanced research and implement data science solutions to detect and classify objects using tools like Python, TensorFlow, and PyTorch.

• Integrate diverse datasets into coherent databases and train foundation models to support mission objectives.

• Fine-tune machine learning models to address specific intelligence questions.

• Create clear documentation and present findings to key decision-makers.

• Collaborate with stakeholders across government, industry, and academia to drive consensus and achieve shared goals.

• Adapt to shifting priorities and assist with ad hoc tasks as needed.

Qualifications

Required:

• Active TS/SCI clearance with Polygraph.

• Bachelor’s degree in a technical field such as Computer Science, Mathematics, or Statistics.

• A minimum of 3 years of experience in data science.

• Proficiency in Python or R.

• Experience with Machine Learning, Computer Vision, or Object Detection.

Preferred:

• Experience with PyTorch, Keras, or analyzing overhead imagery.

• Master’s degree in a technical field with at least 1 year of relevant experience.

Key Competencies

• Strong analytical, problem-solving, and critical-thinking skills.

• Excellent written, verbal, and graphical communication abilities.

• Ability to work both independently and collaboratively in a fast-paced environment.

• Proficiency with standard tools, including Microsoft Office and relevant network systems.

Note: This position requires U.S. Citizenship due to the nature of the work and the clearance requirements.

This description ensures compliance with your preferences for anonymity and rephrases content to maintain originality.

Data Scientist - TS/SCI W/Poly - McLean, VA | Up to $185,000

Job Title: Data Scientist, TS/SCI W/Poly - McLean, VA - $185,000

Experience Level: Mid-senior
Experience Required: 3 Years
Education Level: Bachelor’s Degree
Job Function: Information Technology
Industry: Defense & Space
Compensation: Up to $185,000
Total Positions: 1
Relocation Assistance: Not available
Visa Sponsorship: Not available
Clearance Required: TS/SCI with Polygraph (Full Scope Poly preferred)

Position Overview

This role involves working in a dynamic environment, applying advanced data science techniques to address complex challenges. You will be part of a dedicated team providing data-driven solutions to support the Intelligence Community. This position emphasizes the development and integration of innovative analytical tools and techniques to meet evolving client needs.

If you are passionate about solving challenging problems, honing your technical expertise, and contributing to critical missions, this role offers excellent opportunities for professional growth.

Primary Responsibilities

• Conduct advanced research and implement data science solutions to detect and classify objects using tools like Python, TensorFlow, and PyTorch.

• Integrate diverse datasets into coherent databases and train foundation models to support mission objectives.

• Fine-tune machine learning models to address specific intelligence questions.

• Create clear documentation and present findings to key decision-makers.

• Collaborate with stakeholders across government, industry, and academia to drive consensus and achieve shared goals.

• Adapt to shifting priorities and assist with ad hoc tasks as needed.

Qualifications

Required:

• Active TS/SCI clearance with Polygraph.

• Bachelor’s degree in a technical field such as Computer Science, Mathematics, or Statistics.

• A minimum of 3 years of experience in data science.

• Proficiency in Python or R.

• Experience with Machine Learning, Computer Vision, or Object Detection.

Preferred:

• Experience with PyTorch, Keras, or analyzing overhead imagery.

• Master’s degree in a technical field with at least 1 year of relevant experience.

Key Competencies

• Strong analytical, problem-solving, and critical-thinking skills.

• Excellent written, verbal, and graphical communication abilities.

• Ability to work both independently and collaboratively in a fast-paced environment.

• Proficiency with standard tools, including Microsoft Office and relevant network systems.

Note: This position requires U.S. Citizenship due to the nature of the work and the clearance requirements.

This description ensures compliance with your preferences for anonymity and rephrases content to maintain originality.

Senior Data Governance – McLean, VA – Hybrid

Senior Data Governance – McLean, VA – Hybrid
$105,000 - $157,000

Position Overview 

Are you passionate about driving excellence in Information Risk Governance? Do you thrive in a dynamic environment where you can make a significant impact? If so, this opportunity is for you! 

A leading organization in the financial services sector is seeking a Senior Data Governance Specialist to join its dedicated first-line risk governance team. This role focuses on data governance, privacy, and cyber compliance while implementing cutting-edge identity and access management strategies. You will collaborate closely with key stakeholders, leveraging your organizational prowess and attention to detail to ensure adherence to high standards in information risk policies and procedures. 

Your Contributions Will Include: 

- Shaping innovative strategies around data quality and metadata governance. 

- Developing and maintaining processes aligned with privacy, security, and digital governance standards. 

- Managing an accurate inventory of applications and overseeing access governance activities. 

- Monitoring and adapting to changes in industry standards to refine risk policies. 

- Providing insights through information risk metric reporting. 

- Leading phishing protocols, including training and guideline creation. 

- Partnering with teams across business and technology functions to implement effective governance strategies. 

- Creating management reports on information risk initiatives. 

What You Bring to the Table: 

- Experience: 5–8 years in information risk governance within the financial services industry. 

- Education: Bachelor’s degree in IT, Finance, or a related field (or equivalent experience). 

- Expertise: Strong knowledge of business process flows, metadata, and data lineage, with a proven ability to craft operational policies and manage risks such as privacy, cyber, and identity governance. 

- Skills: Exceptional verbal and written communication, critical thinking, and problem-solving abilities. 

What Sets You Up for Success: 

- A proactive, self-starter attitude with a passion for tackling challenges. 

- Deep expertise in privacy risk, cyber risk, and data governance. 

- A collaborative spirit that questions the status quo and drives innovation. 

- Stellar organizational skills and a strong work ethic to manage competing priorities. 

Why Join Us? 

Be part of a forward-thinking team committed to excellence in governance and risk management. With opportunities to influence critical strategies, this role is perfect for someone eager to make a difference in a fast-paced and impactful environment. 

Take the next step in your career journey—apply today!

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

Data Engineer - USA, Connecticut - $90,000 to $120,000

Data Engineer

USA, Connecticut

$90,000 to $120,000

Position Summary:

Reporting to the Associate Director, Information Technology, the Data Manager/Data Analytics is responsible for overseeing the development and use of company data systems and guaranteeing that all information to and from the company runs timely and securely. They will also effectively identify, analyze and translate business needs into technology and process solutions. This position can be based out of Westlake Village, CA/Marlborough, MA/Danbury, CT.

Principal Responsibilities:

• Works with other team members and business stakeholders to drive development of business analytics requirements.

• Leverages knowledge of business processes and data domain.

• Brings deep expertise in data visualization tools and techniques in translating business analytics needs into data visualization and semantic data access requirements.

• Works with various business units to facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met.

• Leverages enterprise standard tools and platforms to visualize analytics insights, typically working with and/or leading a small team.

• Regularly monitor and evaluate information and data systems that could affect analytical results.

• Translate business needs to technical specifications

• Design, build and deploy BI solutions (e.g., reporting tools)

• Manage integration tools and data warehouse.  

• Manage and conduct data validation and troubleshooting

• Create visualizations and reports according to business requirements

• Monitoring and enhancing databases and related systems to optimize performance.

• Proactively addressing scalability and performance issues.

• Ensuring data quality and integrity while supporting large data sets.

• Debugging and resolving database reliability, integrity, and efficiency.

• As a member of the IT organization at MannKind Corp. the incumbent is also expected to be customer focused, a problem solver, a communicator, professional, willing to learn, organized and a team player.

• Duties and responsibilities are not limited to the work listed above and may include other assignments as necessary.

Education and Experience Qualifications:

• BS/BA Degree with minimum 3-5 years related experience in data management or analysis.

• 3+ years of experience with Relational Database Management Systems (RDBMS)

• 3+ years of Business Intelligence / Analytics related work experience in challenging environments

• Strong understanding of modern data modelling techniques

• Strong understanding of Cloud services providers (AWS, Google, Microsoft) and how to architect solutions around them

• Ability to decipher and organize large amounts of data.

• An analytical mindset with superb communication and problem-solving skills.

• Ability to translate complex problems clearly and in nontechnical terms.

• In-depth SQL programming knowledge - partitioning, indexing, performance tuning knowledge, stored procedure, views

• Hands-on experience in developing dashboards and data visualizations using BI tools (e.g.  PowerBI, Tableau)

Database Analyst - USA, Wilson - $63,800 - $90,000

Database Analyst

USA, Wilson

$63,800 - $90,000

Job Description

Oversees multiple database server environments to ensure an efficient, secure, and accurate environment. Gathers, organizes and interprets data to provide reports and business intelligence. Develops and maintains database documentation. Maintains current knowledge of data storage and management best practices.

Responsibilities:

·        High school diploma or equivalent - Required

·        Bachelor’s degree - Preferred 

·        Minimum of 2 years’ experience in a database role.

·        Extensive knowledge of Microsoft SQL Server.

·        Excellent SQL development skills.

·        Excellent communication skills.

·        Understanding of BI tools and processes.

Senior Data Engineer - USA, Remote - $110,560 to $155,840

Senior Data Engineer

USA, Remote

$110,560 to $155,840

Job Description

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Data Science AI Factory team is committed to exploring new ways to use data and analytics to solve business problems.  The team utilizes a variety of data sources, with a strong focus on unstructured and semi-structured text using NLP to enhance outcomes related to claim, underwriting, operations and the customer experience. 

As a Sr. Data Engineer, you will be an established thought leader through close partnerships with expert resources to design, develop, and implement data assets for a wide range of new initiatives across multiple lines of business. The role involves heavy data exploration, proficiency with SQL and Python, knowledge of service-based deployments and APIs, and the ability to discover and learn quickly through collaboration.  There is a need to think analytically and outside of the box while questioning current processes and continuing to build on the individual’s business acumen.

There will be a combination of team collaboration and independent work efforts.  We seek candidates with strong quantitative background and excellent analytical and problem-solving skills. This position combines business and technical skills involving interaction with business customers, data science partners, internal and external data suppliers and information technology partners.

Responsibilities

• Identify and validate internal and external data sources for availability and quality. Work with SME’s to describe and understand data lineage and suitability for a use case.

• Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.

• Create summary statistics/reports from data warehouses, marts, and operational data stores.

• Extract data from source systems, and data warehouses, and deliver in a pre-defined format using standard database query and parsing tools.

• Understand ways to link or compare information already in our systems with new information.

• Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources.

• Work with data scientists and knowledge engineers to understand the requirements and propose and identify data sources and alternatives.

• Produce code artifacts and documentation using Github for reproducible results and hand-off to other data science teams.

• Propose ways to improve and standardize processes to enable new data and capability assessment and to enable pivoting to new projects.

• Understand data classification and adhere to the information protection and privacy restrictions on data.

• Collaborate closely with data scientists, business partners, data suppliers, and IT resources.

Experience & Skills

Candidates must have the technical skills to transform, manipulate and store data, the analytical skills to relate the data to the business processes that generates it, and the communication skills to document & disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience. These varied skills may be demonstrated through the following:

• Bachelor’s degree or equivalent experience in a related quantitative field

• 5 + years experience accessing and retrieving data from disparate large data sources, by creating and tuning SQL queries. Understanding of data modeling concepts, data warehousing tools and databases (e.g. Oracle, AWS, Snowflake, Spark/PySpark, ETL, Big Data, and Hive) 

• Demonstrated ability to create and deliver high quality Python code using software engineering best practices. Experience with object-oriented programming and software development a plus. Proficiency with Github and Linux highly desired.

• Ability to analyze data sources and provide technical solutions. Strong exploratory and problem-solving skills to check for data quality issues.

• Determine business recommendations and translate into actionable steps 

• Self-starter with curiosity and a willingness to become a data expert

• Demonstrate a passion to both learn new skills and lead discovery of the data research 

• Results oriented with the ability to multi-task and adjust priorities when necessary 

• Ability to work both independently and in a team environment with internal customers 

• Ability to articulate and train technical concepts regarding data to both data scientists and partners

Lead MS Dynamics Technical Consultant - Bulgaria, Sofia - Лв.60,000 - Лв.110,000

Lead MS Dynamics Technical Consultant

Bulgaria, Sofia

Лв.60,000 - Лв.110,000

Job Description

We're looking for a proactive and creative Lead Technical Consultant for Microsoft Dynamics 365 to integrate into our growing teams working across a diverse mix of clients.

The Dynamics 365 Technical Consultant role is a unique hybrid of business and technical consultancy with the ability to operate as a technical lead focusing on the Dynamics 365. As the lead technical consultant for multiple client projects, this person is responsible for the successful onboarding and overall technological direction for those projects and works as a liaison between the client, project management and operations team to design and deliver high quality, scalable technical solutions.

The successful candidate will be able to display thought leadership, technical expertise, and the ability to manage cross-division teams from project inception to completion.

As part of your daily work, you will:

·        Form part of a team of highly skilled consultants - there is not much we don’t know about marketing technology implementation!

·        Demonstrate technical expertise while scoping and driving the creation of marketing and data solutions, ETL, platform configuration, APIs, integrations, and other platform developments.

·        Lead discovery workshops, gather business, marketing, and technical requirements to craft a comprehensive and scalable solution.

·        Create architecture diagrams and flow charts on both system architecture and detailed solution levels while documenting the technical solution design of the Dynamics 365 platform.

·        Own delivery tasks from initial scoping, planning and requirements analysis, through to discovery, design, development, testing, and deployment.

·        Architect data feeds, platform configuration, and components needed to run complex automated email campaigns.

·        Identify and resolve problems including client data feed issues.

·        Act as a consultant and technical expert on Dynamics 365 to serve clients’ needs.

·        The team is experienced in multiple software technologies, you will have the option to cross train and enhance your knowledge – you could expand your product portfolio with a range of other tools (Adobe Experience Cloud, Salesforce Marketing Cloud, Braze, mParticle, Bloomreach)

Azure Data Engineer - Irving, TX Full-Time, Permanent - $110,000 - $120,000

Azure Data Engineer
Irving, TX
Full-Time, Permanent
$110,000 - $120,000

Required Skills:

• Experience in GCP/Azure, Strong Data modelling, Python, Experience with RDBMS, Big Data processing frameworks and tools (Cloudera, Sqoop, Hive, Impala, Spark), DevOps tools and techniques (e.g. continuous integration, Jenkins, Puppet, etc)

Preferred Skills:                                     

• Experience building/migrating data pipeline from on-prem to Cloud (GCP or any cloud)

• Understanding of cloud technologies

• Unix Scripting

• Tableau and Excel tool expertise

Job description:                                     

• Build data pipelines to ingest data from On-prem to cloud

• Experience with Big Data processing frameworks and tools (Cloudera, Sqoop, Hive, Impala, Spark)

• Experience with DevOps tools and techniques (e.g continuous integration, Jenkins, Puppet, etc)

• Experience software development on a team using Agile methodology

• Build data standardization & transformation logic using framework following Object Oriented Programming concept

• Write Unit Test scripts

• Implement standardized error handling & diagnostic logging

• Schedule and maintain production workflows on-prem as well as cloud

• Troubleshoot and resolve QA and Production defects

• Handle code review and code deployment

Data Engineer - USA, Remote - $98,880.00 - $148,320.00

Data Engineer

USA, Remote

$98,880.00 - $148,320.00

Job Description

Data Engineer is responsible for developing Businesses Intelligence solutions using Oracle, Power BI, and other technologies as necessary. The Business Intelligence Developer will work to productize and document solutions so that professional services personnel can efficiently deliver to customers. This person must be strong in Data Architecture, Data Warehousing and Data Transformation.

•   Analyse business requirements, functional requirements, and data specifications to develop Business Intelligence solutions that leverage Oracle, Power BI, other technologies as necessary, and data architecture standards.

•   Develop dashboards utilizing Power BI connecting to an Oracle database.

•   Develop Oracle PL/SQL procedures to perform data transformation.

•   Develop technical specifications and documentation.

•   Work directly with business users and technical staff to develop, document, and test Business Intelligence solutions.

•   Troubleshoot BI tools, systems, and software, including the timely resolution of production issues.

•   Other responsibilities as assigned.

•   Bachelor’s Degree in computer science, Business Administration or related degree along with 4 years of data warehouse/business intelligence experience.

•   A minimum of 3-5 years’ hands-on experience working with and developing Business Intelligence solutions that leverage Oracle.

•   Experience in data warehouse design and performance tuning required.

•   Experience with TypeScript/JavaScript for Power BI custom tools (preferred).

•   Experience with Python (preferred).

•   Strong PL/SQL and SQL skills.

•   Power BI skills a plus.

•   Demonstrated understanding of database architecture design patterns, and complete application development lifecycle.

•   Must possess excellent verbal and written communication skills, proven business acumen, exceptional interpersonal capabilities and possess an attention to detail