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CGS Federal

Data Engineer

Dallas, TX$112.6k–$152.8kfull time hybridmidAdded 1 month ago

About this role

CGS is hiring a mid-level Data Engineer in Dallas to design and maintain data pipelines supporting federal analytics and business intelligence solutions. You'll work within an Agile environment to build ETL processes, manage complex datasets, and enable clients to derive actionable insights from data.

What you'll do

  • Develop and maintain data pipelines for extracting, storing, and provisioning data from multiple sources
  • Design and implement ETL processes with testing and validation procedures
  • Write performant code for data extraction and processing operations
  • Collaborate with cross-functional teams including product managers, engineers, and UX specialists
  • Implement CI/CD practices and maintain code through version control systems
  • Document complex requirements and communicate technical solutions to stakeholders

What they're looking for

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

Benefits

  • Health, Dental, and Vision insurance
  • Life Insurance and 401(k)
  • Flexible Spending Accounts (Health, Dependent Care, Commuter)
  • Paid Time Off and Federal holiday observance
  • Professional development and learning opportunities
  • Collaborative, supportive work environment
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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
View all jobs at CGS Federal

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 developing and optimizing ETL processes. What tools or languages did you use, and how did you validate data quality?
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