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CGS Federal

Data Engineer

Boston, MA$112.6k–$152.8kfull time hybridmidAdded 1 month ago

About this role

CGS is hiring a mid-level Data Engineer in Boston to build and maintain data pipelines and analytics solutions for federal government clients. You'll design ETL processes, manage complex datasets, and collaborate with cross-functional teams to deliver actionable insights using modern data technologies.

What you'll do

  • Develop and maintain end-to-end data pipelines for extraction, storage, and provisioning to stakeholders
  • Design and implement ETL processes with validation and testing for structured and unstructured data
  • Write performant code in Python, R, SQL, or SAS to ensure reliable data processing
  • Support continuous automation and optimization of data ingestion workflows
  • Collaborate with product, engineering, and UX teams to translate requirements into data solutions
  • Document complex requirements and implement CI/CD best practices for code quality

What they're looking for

  • ETL development and data pipeline design
  • Python, R, SQL, or SAS programming
  • Big data analysis and storage technologies
  • PostgreSQL and relational databases
  • Git version control and CI/CD pipelines
  • Agile/Scrum methodologies
  • API design and consumption
  • Communication across technical and non-technical audiences

Benefits

  • Health, Dental, and Vision coverage
  • Life Insurance
  • 401(k) retirement plan
  • Flexible Spending Accounts (Health, Dependent Care, Commuter)
  • Paid Time Off and State/Federal holidays
  • Professional growth and learning opportunities
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CGS Federal

CGS Federal provides workforce development solutions and federal technology services, including training programs, job placement initiatives, and custom software development for government agencies. The company is hiring workforce development professionals in Washington, DC and SharePoint/PowerApps developers in Chicago and Atlanta to support these initiatives.

View all jobs at CGS Federal

Likely interview questions

  • Walk us through a data pipeline you've designed end-to-end—from extraction through storage to consumption. What challenges did you face and how did you handle them?
  • Describe your experience with ETL processes. What tools or languages have you used, and how do you approach testing and validation?