Senior Data Engineer - AI/GenAI & Secure Data Pipelines

World Wide Technology

Kansas

Hybrid

USD 125,000 - 135,000

Full time

8 hours ago
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Benefits offered by this job

Health and Wellbeing
Profit Sharing
401k Plan with Company Matching
PTO and Holidays
Parental Leave

Job summary

World Wide Technology (WWT) is seeking a Senior Data Engineer for our Government Services team in the Chantilly, VA / DC area. You will build data pipelines, design large relational databases, and enforce secure data practices across structured and unstructured datasets, while mentoring junior engineers and helping establish cross‑team standards.

The role focuses on advanced visualization, high‑performance analytics, and secure development within federal civilian, DoD, and intelligence domains.

Qualifications

  • 8+ years of experience in data engineering, database design, or related fields.
  • Strong skills in relational database design, SQL, and ETL/ELT processing.
  • Experience with structured and semi‑structured data and visualization technologies.

Responsibilities

  • Develop data processing workflows and analytics for desktop and web‑based visual analytic tools.
  • Support large‑scale relational data analysis using visualization and high‑performance computing.
  • Build secure data ingest pipelines using open‑source, COTS, and GOTS technologies.
  • Design and optimize enterprise relational databases and establish standards for operations and security.
  • Integrate new data systems with existing data warehouses and improve performance and functionality.
  • Provide mentorship and contribute to system optimization and secure posture improvements.

Skills

React
TypeScript
Python
PostgreSQL
Kubernetes
CI/CD
DevSecOps

Tools

Docker
LanceDB
Temporal.io

Job description

World Wide Technology (WWT) is seeking a Senior Data Engineer for our Government Services team in the Chantilly, VA / DC area. You will build data pipelines, design large relational databases, and enforce secure data practices across structured and unstructured datasets, while mentoring junior engineers and helping establish cross‑team standards.

The role focuses on advanced visualization, high‑performance analytics, and secure development within federal civilian, DoD, and intelligence domains.

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