Graph Data Engineer
- Location
- Arlington, VA · On-site
- Job type
- Full-time
- Level
- Senior
- Listed
- 30 days ago
Skills & highlights for this role
- graph databases
- ontology modeling
- data pipeline engineering
Also useful
- agentic workflows
- API integration
- metadata cataloging
About the Role
We are seeking an analytical, forward-thinking Graph Data Engineer to design, build, scale, and maintain the Enterprise Semantic Map - our ontology-grounded metadata graph.
In this role, you will move the enterprise beyond traditional, static cataloging by leading an automation-first approach. You will architect and deliver programmatic data and API integrations, design and configure graph database structures, and build the agentic workflows that discover and catalog disparate data sources across the enterprise. Partnering with graph, data, and engineering teams, you will align these assets to enterprise semantic and provenance layers so data is discoverable, understandable, trusted, and dynamically composable for human analysts, applications, and downstream AI agents.
Success in this role requires strong hands-on engineering skills and a systems-thinking mindset: the ability to reason about how data pipelines and tool integrations affect the broader enterprise architecture, search and discovery, and downstream agentic research workflows - and to make and defend design decisions that others will build on.
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
Now is an exciting time to join Redhorse Corporation.
We are redefining how the U.S. Government transforms data into operational advantage through artificial intelligence, graph analytics, and mission-driven software engineering. Our teams work alongside the Department of Defense to build secure, scalable capabilities that enable analysts and decision-makers to move faster, reason better, and operate with greater confidence.
Our approach combines human-centered design, modern software engineering, graph technologies, artificial intelligence, and agile delivery to solve some of the nation’s most challenging problems.
From Redhorse's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Graph Data Engineer job at Redhorse located?
This Graph Data Engineer position at Redhorse is located in Arlington, VA (On-site). Always check Redhorse's application page for specific state eligibility or relocation policies.
What qualifications are required for Graph Data Engineer at Redhorse?
For the Graph Data Engineer role, Redhorse highlights experience with graph databases, ontology modeling, data pipeline engineering. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Graph Data Engineer position at Redhorse?
This listing links directly to Redhorse's Lever application page. You can apply directly on Redhorse's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.