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Knowledge Graph Data Engineer

Bespoke Technologies Reston, Virginia, United States

16 h ago
data-engineer Principal (10+ yrs) Full-time United States
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About the role

You will build Python pipelines to ingest, clean, and index data while modeling complex entities and relationships within a property graph. Additionally, you will implement hybrid retrieval systems and integrate MCP tools to support agent-based applications.

What they look for

Python Knowledge Graph Graph RAG Vector Search Data Pipelines Entity Resolution Property Graph Modeling LangGraph Oracle Database Semantic Search Information Extraction Graph Algorithms Retrieval-Augmented Generation Model Context Protocol Cloud Fundamentals Data Structures

Requirements

Candidates must have 10+ years of relevant experience and an active Poly clearance. A bachelor's degree in engineering, math, or computer science is required, with a master's degree preferred.

Full description

BT-473 – Knowledge Graph Data Engineer

Location: Reston, VA

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

We are seeking a highly experienced and motivated Knowledge Graph Data Engineer 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.

Role Description:

  • 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.
  • Required qualifications
  • 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.

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