Data Platform
Knowledge Graph Engineer
Model entities, relationships, events, and rules so AI and analytics systems can reason over operational context.
Oklahoma City, OK / HybridFull-timeMid-SeniorU.S. Citizen / TS capable
Impact
- Create semantic structures that make data easier to find, trust, and act on.
- Connect fragmented systems through shared domain models.
- Enable richer retrieval, reasoning, and decision support.
What you'll do
- Design graph schemas, entity resolution workflows, and relationship models.
- Build ingestion and enrichment pipelines for graph-backed applications.
- Work with domain experts to capture operational concepts and constraints.
- Support search, analytics, and AI workflows over graph data.
What we're looking for
- 4+ years of data engineering, graph, semantic modeling, or backend engineering experience.
- Experience with graph databases, ontologies, entity resolution, or metadata systems.
- Strong data modeling and systems thinking skills.
- U.S. Citizenship is required.
- Must be capable of obtaining and maintaining a Top Secret security clearance.
- Comfort working with ambiguous mission, data, and engineering problems.
- Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
- AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
- AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
- Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
Hiring note
Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.