Knowledge Graph Data Engineer (2026-0247)

• Build Python pipelines to ingest, clean, chunk, enrich, and index structured and unstructured data.
• Model entities and relationships in a property graph, preserving provenance and links to source material.
• Develop entity extraction and resolution workflows that connect information across sources.
• Build embedding pipelines and maintain vector indexes for semantic search.
• Implement hybrid retrieval that combines vector search, keyword search, graph traversal, and database queries.
• Develop and integrate MCP servers and tools that expose vector search capabilities to a LangGraph agent.
• Integrate the Oracle MCP server so the agent can query relevant database data.
• Apply graph algorithms to identify connections and improve retrieval.
• Evaluate graph quality, retrieval relevance, answer grounding, and pipeline reliability.
• Collaborate with application engineers and stakeholders to turn use cases into graph models, retrieval workflows, and agent tools.

ATS is currently seeking a highly experienced and motivated Knowledge Graph Data Engineer w/ TS/SCI w/ Polygraph in Bethesda, MD to build the data and retrieval foundation for a Graph RAG application. The system combines a property graph, vector search, and database queries with a LangGraph agent. You will help turn information from multiple sources into reliable graph data and make it accessible through retrieval APIs and MCP tools., * Strong computer science fundamentals, including data structures, algorithms, software design, and testing.

• Proficiency in Python and experience building maintainable data pipelines or backend services.
• Working knowledge of cloud fundamentals, including compute, storage, networking, security, and deployment.
• Hands-on experience with property graph modeling, queries and traversals, and graph algorithms.
• Experience with embeddings, vector indexes, and semantic or hybrid search.
• Understanding of retrieval-augmented generation and how to evaluate the quality of retrieved context.
• Ability to work with inconsistent or incomplete data and communicate technical decisions clearly.

Preferred qualifications:

• Experience with Oracle Cloud Infrastructure (OCI), Oracle Database, or Oracle Property Graph.
• Experience building agents with LangGraph or a similar framework.
• Experience developing or integrating Model Context Protocol (MCP) servers and tools.
• Familiarity with entity resolution, information extraction, or knowledge graph construction.
• Experience with CI/CD, containers, infrastructure as code, and production monitoring.

Required Credentials:

• 10+ years of experience relevant to this position.
• Bachelor’s Degree in engineering, Math or computer science. Master’s degree preferred.