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Knowledge Graph Jobs in Virginia (NOW HIRING)

Peraton

Senior Data Engineer - Knowledge Graphs

Herndon, VA · On-site

$117K - $141K/yr

This may come from a traditional data engineering background with hands-on knowledge graph ... experience, or from a research-oriented knowledge graph / semantic systems background paired with ...

Peraton

Senior Data Engineer - Knowledge Graphs

Reston, VA · On-site

$119K - $143K/yr

This may come from a traditional data engineering background with hands-on knowledge graph ... experience, or from a research-oriented knowledge graph / semantic systems background paired with ...

Peraton

Senior Data Engineer - Knowledge Graphs

Reston, VA · On-site

$119K - $143K/yr

This may come from a traditional data engineering background with hands-on knowledge graph ... experience, or from a research-oriented knowledge graph / semantic systems background paired with ...

Enterprise Knowledge

Full Stack AI Developer

Arlington, VA · On-site

$95K - $115K/yr

Work with internal teams to integrate AI components with semantic layers and knowledge graph implementations * API & Middleware: Develop middleware integration layers for decoupled systems, including ...

Enterprise Knowledge

Full Stack AI Developer

Arlington, VA · On-site

$95K - $115K/yr

Work with internal teams to integrate AI components with semantic layers and knowledge graph implementations * API & Middleware: Develop middleware integration layers for decoupled systems, including ...

Guidehouse

Metadata / Data Cataloging Senior Analyst

Mclean, VA · On-site

$86K - $109K/yr

... knowledge-graph relationships, and catalog curation practices). This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as ...

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How much do knowledge graph jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for knowledge graph in Virginia is $30.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $25.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Knowledge Graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

What is a Knowledge Graph job?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What are some typical daily responsibilities of a Knowledge Graph Engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the most commonly searched types of Knowledge Graph jobs in Virginia? The most popular types of Knowledge Graph jobs in Virginia are:
What are popular job titles related to Knowledge Graph jobs in Virginia? For Knowledge Graph jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Virginia look for? The top searched job categories for Knowledge Graph jobs in Virginia are:
Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Virginia as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $63,997 per year, or $30.8 per hour.
Semantic Knowledge Graph Engineer

Semantic Knowledge Graph Engineer

BasisPath, Inc.

Chantilly, VA • On-site

$99K - $136K/yr

Full-time

Medical, PTO

Posted yesterday

Job description

BasisPath is seeking an experienced Semantic Knowledge Graph Engineer to design, develop, and maintain advanced semantic and graph-based applications that support mission-critical analysis and decision-making across the U.S. Intelligence Community (IC). The ideal candidate combines deep expertise in RDF graph technologies with practical software engineering skills and a strong understanding of ontological modeling frameworks such as the Common Core Ontologies (CCO) and Basic Formal Ontology (BFO).
About BasisPath:
BasisPath, a rapidly growing woman and veteran-owned small business, is actively seeking talented candidates to support our expanding business commitments. We offer a comprehensive benefits package, including signing bonuses, relocation assistance, expense reimbursement, 100% paid health insurance, competitive compensation, growth opportunities, profit sharing, relevant training, and generous PTO.
At BasisPath, we prioritize our employees' well-being and professional development. Join us and become part of our dedicated team!
Responsibilities:
  • Design, develop, and maintain advanced semantic and graph-based applications that support mission-critical analysis and decision-making across the U.S. Intelligence Community (IC).
  • Develop and manage RDF-based databases and graph solutions using technologies such as AllegroGraph, Amazon Neptune, or comparable platforms.
  • Build scalable microservices and RESTful APIs that expose graph data and analytics capabilities to downstream systems.
  • Implement complex graph algorithms for relationship analysis, pattern detection, and data reasoning.
  • Design and extend ontological frameworks aligned with the Common Core Ontologies (CCO), Basic Formal Ontology (BFO), and IC data standards.
  • Collaborate with analysts, data scientists, and mission stakeholders to translate operational requirements into semantic architectures and optimized solutions.
  • Optimize graph queries and data structures for performance in secure, resource-constrained, and classified computing environments.
  • Contribute to Agile development practices, including sprint planning, code reviews, automated testing, and CI/CD workflows.
  • Ensure compliance with IC/DoD cybersecurity and data protection standards.

Required Qualifications:
  • U.S. Citizenship and an active Top Secret clearance with the ability to obtain and maintain SCI.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related technical discipline.
  • Minimum of five years of professional software engineering experience.
  • Hands-on experience with RDF and graph databases (e.g., AllegroGraph, Amazon Neptune, GraphDB, etc.).
  • Proficiency in Python, Java, or C++, with experience developing microservices and RESTful APIs.
  • Proficiency in graph query languages such as SPARQL, Cypher, or Gremlin.
  • Strong understanding of semantic web standards (RDF, OWL, SHACL).
  • Experience deploying and maintaining applications in classified or air-gapped environments.

Desired Qualifications:
  • Experience supporting Intelligence Community missions or working within classified domains.
  • Direct experience implementing or extending CCO or BFO.
  • Experience with Docker or Kubernetes deployments in secure environments.
  • Familiarity with graph visualization tools, semantic analytics, and reasoning systems.
  • Experience with AWS or Azure, especially graph and analytics services.
  • Relevant certifications such as Security+, CISSP, or other DoD 8570 credentials.
  • Advanced degree in Computer Science, Data Science, or a related field.
  • Current TS/SCI with Polygraph preferred.

If you are passionate about semantic technologies, ontological modeling, and developing solutions that enhance data interoperability and reasoning across national security missions, we would love to hear from you.

Apply