Knowledge Graph Data Engineer (2026-0247)
At a glance
Mid-level Data Engineering role at Acclaim Technical Services. Reston · full-time · $210,000–$260,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build Python workflows that prepare data from varied sources and load it into graph and vector indexes
- Represent entities and their links in a property graph, keeping source references and provenance intact
- Create extraction and resolution processes that connect information across sources
- Combine graph traversal, database queries, keyword matching and vector search to retrieve relevant context
- Expose retrieval through MCP tools for a LangGraph agent, then assess answer grounding and pipeline reliability
What you bring
- At least ten years of relevant experience and a bachelor’s degree in engineering, math or computer science
- Strong Python skills, with experience developing maintainable data pipelines or backend services
- Hands-on ability to model and query property graphs, traverse them and apply graph algorithms
- Experience with embeddings, vector indexes and semantic or hybrid search, plus an understanding of RAG evaluation
Who this fits
This role suits a senior engineer who can turn inconsistent source data into graph models and retrieval workflows, and explain technical choices clearly. You must hold TS/SCI with Polygraph and work in Bethesda, Maryland.
From the employer
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.
- 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.
- 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.
- 10+ years of experience relevant to this position.
- Bachelor’s Degree in engineering, Math or computer science. Master’s degree preferred.
Acclaim Technical Services (ATS), founded in 2000, is a premier provider of tech-enabled solutions and operational services to a broad range of U.S. Federal agencies. As an Employee Stock Ownership Plan (ESOP) company—an uncommon advantage in our sector—we foster a culture of ownership, accountability, and shared success. This commitment to our people shows: ATS is consistently recognized as a top workplace in the DC area and continues to experience strong, strategic growth.
Salary Transparency: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources
EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT: ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering$210k+
Find me workBy the team behind dataroles.