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CGS Federal

Data Engineer

Atlanta, GA$112.6k–$152.8kfull time hybridmidAdded 1 month ago

About this role

CGS is hiring a mid-level Data Engineer in Atlanta to design and maintain data pipelines and analytics infrastructure supporting federal clients. You'll work in an Agile environment leveraging modern data technologies to transform raw data into actionable insights for government innovation.

What you'll do

  • Develop and optimize data pipelines for ingestion, storage, and provision to data consumers
  • Write and maintain code for reliable data extraction and processing
  • Design and implement ETL processes with testing and validation
  • Support continuous automation and CI/CD pipeline improvements
  • Collaborate with cross-functional teams including product managers and engineers
  • Translate business requirements into technical data solutions

What they're looking for

  • Python, R, SQL, or SAS for data manipulation
  • ETL process development
  • Big data analysis and storage technologies
  • Git version control systems
  • Relational databases (PostgreSQL preferred)
  • Agile/Scrum methodologies
  • API design and consumption
  • CI/CD pipelines

Benefits

  • Health, Dental, and Vision insurance
  • Life Insurance
  • 401(k) with company match
  • Flexible Spending Accounts (Health, Dependent Care, Commuter)
  • Paid Time Off and Federal holidays
  • Professional development 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 your experience designing and building data pipelines. What sources and data formats have you worked with, and what challenges did you encounter?
  • Describe your proficiency with Python, SQL, and any other data manipulation languages. Can you give an example of a complex data transformation you've written?