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CGS Federal

Data Engineer

Washington, DC$112.6k–$152.8kfull time hybridmidAdded 1 month ago

About this role

CGS is hiring a mid-level Data Engineer to design and maintain data pipelines for a federal analytics platform. You'll work with cross-functional Agile teams to build ETL processes, ensure data quality, and help government customers derive actionable insights from complex datasets.

What you'll do

  • Design and develop end-to-end data pipelines for ingestion, storage, and delivery to stakeholders
  • Write and optimize code for data extraction, transformation, and processing across structured and unstructured sources
  • Build and maintain ETL processes with rigorous testing and validation
  • Support continuous automation and CI/CD integration for data workflows
  • Collaborate with program managers and engineers to implement evolving technical requirements
  • Communicate data strategies and solutions across technical and non-technical audiences

What they're looking for

  • Data pipeline design and ETL development
  • Python, SQL, R, or SAS for data manipulation
  • Big data analysis and storage technologies
  • PostgreSQL and relational databases
  • Git version control and CI/CD pipelines
  • Agile/Scrum methodologies
  • API design and consumption
  • Tableau or PowerBI visualization (preferred)

Benefits

  • Health, dental, and vision insurance
  • Life insurance
  • 401(k) retirement plan
  • Flexible spending accounts
  • Paid time off and 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.

Website
cgsfederal.com
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Likely interview questions

  • Walk us through a complex data pipeline you've designed end-to-end. What sources did you work with, and how did you handle both structured and unstructured data?
  • Describe your experience with ETL processes. What tools or languages have you used, and how do you approach testing and validation?
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