Data Engineer — Federal BI & Analytics

CGS Federal (Contact Government Services)

Tampa (FL)

On-site

USD 100,000 - 150,000

Full time

5 hours ago
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Benefits offered by this job

Health, Dental, and Vision
Life Insurance
401k
Flexible Spending Account (FSA)
PTO and Holidays

Job summary

CGS Federal (Contact Government Services) seeks a Data Engineer to support a growing Data Analytics and BI platform for federal customers. The role emphasizes critical thinking, learning across technologies, and delivering data-driven insights.

The ideal candidate will contribute to Agile teams, develop scalable data pipelines, and collaborate with engineers, product managers, and UX researchers to meet evolving requirements.

Qualifications

  • 7+ years of IT experience with large, complex data sets and models.
  • Experience building data pipelines from diverse sources (structured & unstructured).
  • Proficiency in ETL development, testing, and validation.
  • Ability to manipulate data using Python, R, SQL, SAS.
  • Strong knowledge of big data tools and storage technologies; familiarity with CI/CD pipelines.

Responsibilities

  • Develop end-to-end data pipelines to store, manage, and provision data to consumers.
  • Collaborate in an Agile/Scrum team and adhere to lean‑agile engineering practices.
  • Write code to ensure performance and reliability of data extraction and processing.
  • Support automated data ingest and continuous process automation.
  • Collaborate with program management and engineers to implement evolving requirements.
  • Promote customer service excellence, teamwork, and cross-functional collaboration.

Skills

Python
R
SQL
SAS
Agile/Scrum
CI/CD

Tools

Git
PostgreSQL
Tableau
PowerBI

Job description

CGS Federal (Contact Government Services) seeks a Data Engineer to support a growing Data Analytics and BI platform for federal customers. The role emphasizes critical thinking, learning across technologies, and delivering data-driven insights.

The ideal candidate will contribute to Agile teams, develop scalable data pipelines, and collaborate with engineers, product managers, and UX researchers to meet evolving requirements.

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