Orbis Operations
Data Engineer & Application Development (TS/SCI w/ Poly)
McLean, VA +1 · Full-time · Posted Oct 2, 2026
- Location
- McLean, VA
McLean,VA - Experience
- 2–5 years in data engineering, software development, or a related technical role working with data and applications.
About the job
Builds, deploys, and sustains data pipelines and supporting applications for federal intelligence programs, including AI agent and retrieval-driven applications.
What you'll do
- Build and maintain data ingestion pipelines and supporting application interfaces and server-side logic.
- Translate user requirements into data flows and application features; test, debug, deploy, and sustain solutions, including in air-gapped environments.
- Support architecture, integration, and validation for AI agent and retrieval-driven applications; collaborate with analysts and engineers.
What they ask for
- Active TS/SCI clearance with a poly.
- 2–5 years of experience in data engineering, software development, or a related technical role working with data and applications.
- Intermediate experience with Python and SQL; basic experience with APIs, system integration, and data pipelines.
- Basic hands-on experience running applications or data tools in Linux; familiarity with Claude Code, Copilot, Codex, or another AI coding tool.
Nice to have
- Experience with containers, CI/CD, relational or embedded analytical databases, or deployment in accredited environments.
- Familiarity with agentic AI architecture, configuration-driven design, JavaScript or TypeScript, and Git.
Tools
Python, SQL, Linux, Claude Code, Copilot, Codex, JavaScript, TypeScript
AI focus
Support the architecture, integration, and validation layers behind AI agent and retrieval-driven applications; familiarity with how models, tools, retrieval, and validation layers fit together is desired.
Model-written summary · the original posting is authoritative