Data Engineer—Federal Analytics & Data Pipelines

CGS Federal (Contact Government Services); Dallas (TX); On-site; USD 113,000 - 153,000; Full time

Benefits offered by this job

Health, Dental, Vision

Life Insurance

401k

Flexible Spending Account

Paid Time Off & Holidays

Job summary

CGS Federal (Contact Government Services) seeks a mid-level Data Engineer to support a growing Data Analytics platform. The role focuses on building data pipelines, ETL processing, and analytics solutions for federal customers.

You will work in an Agile environment, collaborating with engineers, PMs, and UX researchers to turn data into actionable insights. The team emphasizes lean-agile practices, API-first design, and automated testing, with a commitment to professional growth and

Qualifications

• 7+ years IT experience with large data sets and models.
• Experience building data pipelines from diverse sources.
• ETL development and validation
• Python/SQL/R/SAS data manipulation
• Big data tools and storage knowledge
• PostgreSQL and Git proficiency
• Experience with API design and automation workflows

Responsibilities

• Develop data pipelines to store, manage, and provision data to consumers.
• Collaborate in an Agile/Scrum team and follow best practices.
• Write code to ensure data extraction/processing performance and reliability.
• Support automated data ingestion and workflow automation.
• Advocate lean-agile engineering, CI/CD, and automated testing.
• Document complex requirements with program management and engineers.
• Collaborate cross-functionally with UX, product, and other teams.

Skills

ETL development

Python

SQL

R

SAS

Big data

Agile

CI/CD

APIs

Data visualization

Communication

Teamwork

Tools

PostgreSQL

Git

Tableau

Power BI

Linux shell

Job description

CGS Federal (Contact Government Services) seeks a mid-level Data Engineer to support a growing Data Analytics platform. The role focuses on building data pipelines, ETL processing, and analytics solutions for federal customers.

You will work in an Agile environment, collaborating with engineers, PMs, and UX researchers to turn data into actionable insights. The team emphasizes lean-agile practices, API-first design, and automated testing, with a commitment to professional growth and