Data Engineer

About this role

CGS seeks a mid-level Data Engineer to design and maintain data pipelines for a federal government analytics platform. You'll collaborate with cross-functional teams to build scalable ETL solutions, ensure data quality and performance, and apply agile and CI/CD best practices while supporting mission-critical intelligence operations.

What you'll do

• Develop and optimize data pipelines to extract, process, and provision data from multiple structured and unstructured sources
• Build and maintain ETL processes with comprehensive testing and validation
• Write reliable code for data extraction and processing while monitoring performance
• Support continuous automation initiatives and CI/CD pipeline implementation
• Collaborate with program managers and engineers to translate complex requirements into technical solutions
• Contribute to cross-functional teams including designers, product managers, and other specialists

What they're looking for

• Python, SQL, R, or SAS for data manipulation
• ETL and data pipeline development
• Big data analysis and storage technologies
• Agile/Scrum methodologies and lean-agile engineering practices
• CI/CD pipelines and version control (Git)
• Relational databases (PostgreSQL)
• API design and consumption
• Linux shell scripting

Benefits

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