Senior Technical Lead, Architecture – Enterprise Risk Delivery | McLean, VA or Plano, TX

Location: McLean, Virginia or Plano/Dallas, Texas

Work Arrangement: Primarily onsite, with up to six remote weeks per year subject to manager approval

Employment Type: Full-time

Visa Sponsorship: Not available

Relocation Assistance: Available for exceptional candidates

Compensation: $210,000–$230,000 base salary plus annual bonus; approximately $250,000–$280,000 OTE depending on experience

Overview

A leading financial-services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise-risk technology initiatives.

This Director-level individual-contributor role will design and govern enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes and Compliance. The successful candidate will partner with engineering, data, product, security and business stakeholders to drive enterprise modernization, cloud transformation and Generative AI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design secure, scalable enterprise solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns and best practices.

• Ensure long-term scalability, maintainability and resilience.

• Lead architecture reviews and complex technical decisions.

• Balance innovation, delivery speed and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting financial risk, non-financial risk, financial crimes and regulatory compliance.

• Enable enterprise data integration and risk analytics.

• Support regulatory obligations through modern technology platforms.

• Align risk solutions with enterprise architecture, security and data standards.

Cloud and Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization across distributed systems.

• Lead API-first and microservices-based architecture strategies.

• Design integration patterns and micro-frontend solutions.

• Apply twelve-factor application-design principles.

• Support enterprise AI, Generative AI and AI-enabled solution initiatives.

• Guide use of AWS, Azure or GCP, Kubernetes, Kafka and modern engineering platforms.

• Promote CI/CD, DevOps, Agile delivery and enterprise platform engineering.

Technical Leadership and Collaboration

• Provide technical leadership across engineering, architecture and product teams.

• Mentor engineers and influence technical direction without formal line-management authority.

• Translate complex business requirements into practical technical solutions.

• Collaborate with enterprise architecture, security, data and engineering organizations.

• Influence executives through clear technical communication.

• Evaluate emerging technologies against strategic goals.

• Drive enterprise transformation while remaining hands-on with architectural decisions.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering or a related discipline.

• At least 10 years of hands-on software-engineering experience.

• At least eight years in architecture or senior technical leadership.

• Extensive experience leading large-scale enterprise architecture initiatives.

• Enterprise solution architecture, cloud architecture, microservices, API architecture and integration expertise.

• Experience designing cloud-native architectures using AWS, Azure or GCP.

• Strong experience with Kubernetes, Kafka, Java, Python and modern distributed systems.

• Experience with Angular, micro frontends and twelve-factor application design.

• Knowledge of CI/CD, DevOps, Agile delivery and enterprise platform engineering.

• Experience implementing or architecting Generative AI or AI-enabled solutions.

• Experience within a highly regulated industry such as financial services, banking, mortgage or healthcare.

• Strong architecture-governance, executive-communication and cross-functional leadership skills.

• Ability to work primarily onsite in McLean, Virginia or Plano/Dallas, Texas.

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

Preferred Qualifications

• Master’s degree.

• Mortgage or housing-finance experience.

• AWS Solutions Architect Professional or equivalent cloud certification.

• Enterprise digital-transformation leadership.

• Enterprise data-platform and analytics experience.

• Regulatory-technology experience.

Ideal Candidate

The ideal candidate is an experienced enterprise architect with deep cloud and modern-software expertise. They will have led architecture strategy across complex enterprise environments, delivered within regulated industries and influenced executive stakeholders while remaining close to technical decision-making.

They will combine AWS, Kubernetes, Kafka, Java, Python, APIs, microservices, DevOps and GenAI knowledge with sound architecture governance and the ability to turn complex risk and compliance challenges into scalable enterprise solutions.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected under applicable federal, state or local 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.

Senior Technical Lead, Enterprise Risk Architecture – McLean, VA

Senior Technical Lead, Architecture – Enterprise Risk Delivery

📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus

Overview

A leading financial services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise risk technology initiatives.

This Director-level individual contributor role is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design enterprise-scale, secure, and scalable solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns, and best practices.

• Ensure long-term scalability, maintainability, and resilience of enterprise platforms.

Technical Leadership

• Provide technical leadership across engineering, architecture, and product teams.

• Mentor engineering teams and influence technical direction.

• Conduct architecture reviews and provide guidance on complex technical decisions.

• Balance innovation, delivery speed, and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting:

• Financial Risk

• Non-Financial Risk

• Financial Crimes

• Regulatory Compliance

• Enable enterprise data integration and risk analytics.

• Support regulatory compliance through modern technology solutions.

Cloud & Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization initiatives across distributed systems.

• Lead API-first, microservices-based architecture strategies.

• Support enterprise AI and Generative AI initiatives.

Stakeholder Collaboration

• Partner with business leaders to translate requirements into technical solutions.

• Collaborate with enterprise architecture, security, data, and engineering organizations.

• Influence executive stakeholders through clear technical communication.

• Evaluate emerging technologies aligned with strategic business goals.

Required Qualifications

Education

• Bachelor's Degree in Computer Science, Engineering, or a related discipline.

• Master's Degree preferred.

Experience

✔ 10+ years of software engineering experience.

✔ 8+ years in architecture or senior technical leadership.

✔ 15+ years of overall technology experience preferred.

✔ Experience leading large-scale enterprise architecture initiatives.

✔ Experience within highly regulated industries such as:

• Financial Services

• Banking

• Mortgage

• Healthcare

Technical Expertise

Enterprise Architecture

• Solution Architecture

• Enterprise Architecture

• Microservices Architecture

• API Design & Integration

• Integration Patterns

• Micro Frontends

• Twelve-Factor Application Design

Cloud Platforms

• AWS (Preferred)

• Microsoft Azure

• Google Cloud Platform (GCP)

Modern Technologies

• Kubernetes

• Kafka

• Java

• Python

• Angular

DevOps & Engineering

• CI/CD

• DevOps Practices

• Agile Methodologies

• Enterprise Platform Engineering

Artificial Intelligence

• Generative AI (GenAI)

• AI Solution Design

• Enterprise AI Integration

Preferred Qualifications

• Experience within the mortgage or housing finance industry.

• Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).

• Experience leading enterprise digital transformation initiatives.

• Background in enterprise data platforms and analytics.

• Experience supporting regulatory technology solutions.

Must-Have Skills

Architecture

• Enterprise Solution Architecture

• Cloud Architecture

• Microservices

• API Architecture

• Enterprise Integration

Cloud & Infrastructure

• AWS (Preferred)

• Azure or GCP

• Kubernetes

• Kafka

Development

• Java

• Python

• Angular

Leadership

• Technical Leadership

• Enterprise Strategy

• Executive Communication

• Cross-Functional Collaboration

• Architecture Governance

Modern Engineering

• CI/CD

• DevOps

• Agile Delivery

• AI / GenAI

Screening Questions

1. Do you have at least 10 years of hands-on software engineering experience?

2. Do you have 8 or more years of experience in solution architecture or technical leadership?

3. Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?

4. Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?

5. Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?

6. Do you have experience implementing or architecting Generative AI or AI-enabled solutions?

7. Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?

8. Have you led enterprise transformation or modernization initiatives?

9. Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?

10. Are you comfortable working onsite in McLean, VA with limited remote flexibility?

Ideal Candidate Profile

The ideal candidate will:

• Be an experienced enterprise architect with deep technical expertise.

• Have successfully led architecture strategy across complex enterprise environments.

• Possess extensive cloud architecture experience, particularly with AWS.

• Demonstrate expertise in modern software engineering, APIs, and microservices.

• Have experience delivering technology within highly regulated industries.

• Be comfortable influencing executives and senior business stakeholders.

• Mentor engineering teams while remaining hands-on with architectural decision-making.

• Drive innovation through cloud modernization, DevOps, and AI technologies.

Candidate Snapshot

Requirement

Details

Experience

15+ Years Overall Technology Experience

Leadership

Director-Level Individual Contributor

Architecture

Enterprise Solution Architecture

Cloud

AWS (Preferred), Azure, GCP

Technologies

Kubernetes, Kafka, Java, Python, Angular

Engineering

Microservices, APIs, DevOps, CI/CD

Industry

Financial Services / Highly Regulated Environment

AI

GenAI & Enterprise AI Solutions

Location

McLean, VA

Work Arrangement

Primarily Onsite (Up to 6 Remote Weeks Per Year)

Compensation

$210K – $230K + Bonus

Relocation

Available for Exceptional Candidates

What Makes Someone Successful in This Role?

• Deep expertise in enterprise architecture and cloud-native solution design.

• Strong leadership while operating as a hands-on technical contributor.

• Ability to translate complex business challenges into scalable technical solutions.

• Experience driving enterprise modernization and digital transformation.

• Strong understanding of risk, compliance, and secure architecture within regulated industries.

• Exceptional communication skills with both executive leadership and engineering teams.

• Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.

CTO Co-Founder – Healthcare Payments AI Startup – New York, NY

CTO Co-Founder – Healthcare Payments AI Startup

📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity

Overview

A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.

The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.

Key Responsibilities

Technology & Product Leadership

• Own the technology vision, architecture, and engineering roadmap.

• Build and launch the company’s initial MVP and commercial platform.

• Evaluate and select the technology stack and infrastructure.

• Design secure, scalable systems for healthcare payment and claims workflows.

AI & Workflow Automation

• Build AI-driven workflow automation and operational intelligence capabilities.

• Develop data ingestion, normalization, and decision-support solutions.

• Implement automation for claims, reimbursement, reconciliation, and payment processes.

Engineering Leadership

• Recruit, hire, and lead the founding engineering team.

• Establish development standards, processes, and engineering culture.

• Drive execution from concept through production deployment.

Strategic Collaboration

• Work directly with the CEO, investors, advisors, and early customers.

• Translate customer needs into scalable technical solutions.

• Support fundraising, product strategy, and commercial growth initiatives.

Required Qualifications

Experience

✔ 0-to-1 Product Development Experience

✔ Hands-On Software Engineering & Architecture

✔ AI / ML & Workflow Automation

✔ Engineering Team Leadership

✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience

✔ 10+ Years of Technical Experience

Education

• Bachelor's Degree in Computer Science, Engineering, or related field.

• Graduate of a top-tier university strongly preferred.

Preferred Backgrounds

• Healthcare Technology

• Revenue Cycle Management (RCM)

• Claims Processing Platforms

• Payments & FinTech

• AI Workflow Automation

• Enterprise SaaS

• Data Infrastructure

• Healthcare Interoperability

Ideal Candidate

The ideal candidate is a builder-first technical leader who has:

• Personally built and launched software products from MVP to production.

• Experience operating in startups or high-growth environments.

• Strong software architecture and coding skills.

• Experience developing AI-powered products or automation platforms.

• Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.

• Experience recruiting and leading engineering teams.

• Ability to communicate effectively with customers, executives, and investors.

Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.

Candidate Snapshot

Requirement

Details

Level

CTO / Co-Founder

Experience

10+ Years

Location

New York, NY (Onsite)

Industry

Healthcare AI / FinTech

Education

Bachelor's Degree Required

Equity

15–20%

Relocation

No

Sponsorship

No

Screening Questions

1. Have you personally built and launched a software product from MVP to production?

2. Describe your experience leading 0-to-1 product development initiatives.

3. What AI, machine learning, or workflow automation products have you built?

4. Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?

5. Have you recruited and led engineering teams in a startup or high-growth environment?

6. What programming languages, frameworks, and cloud technologies have you used to build scalable products?

7. Are you comfortable being a hands-on contributor while also leading the engineering organization?

8. Are you able to work onsite in New York City?

What Makes Someone Successful in This Role?

• Founder mentality and bias toward action.

• Strong technical depth with hands-on coding capability.

• Experience building products in regulated, transaction-heavy environments.

• Ability to move quickly from concept to commercial product.

• Strong communication skills with both technical and non-technical stakeholders.

• Passion for using AI to solve complex operational challenges.

• Desire to build and scale a company, not just a technology platform.

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