{"schemaVersion":"jobsearcher.job.v1","id":"c50c852e6d015d31918afb13","url":"https://jobsearcher.com/jobs/c50c852e6d015d31918afb13","canonicalUrl":"https://jobsearcher.com/jobs/c50c852e6d015d31918afb13","title":"Knowledge Graph Engineer – Entity Resolution & Graph Analytics","description":"Role Overview\n\n3GIMBALS is seeking a Knowledge Graph Engineer to design, build, and maintain the knowledge graph that underpins our unclassified PAI/CAI-based analytic platform. This role is responsible for modeling ontologies, engineering entity resolution and relationship-extraction pipelines, and delivering graph-based analytics that connect people, organizations, locations, events, and other entities across large, heterogeneous data sources. The ideal candidate blends data engineering, semantic modeling, and NLP to turn disparate data into a coherent, queryable graph that powers analytic discovery.\n\nKey Responsibilities\n\nOntologyGraph Modeling\n\nDesign and evolve ontologies, schemas, and taxonomies for entities and relationships\nModel complex, multi-source data into a coherent, queryable knowledge graph\nDefine and maintain graph data standards, naming conventions, and semantics\n\nEntity ResolutionData Integration\n\nBuild entity resolution, deduplication, and record-linkage pipelines across disparate sources\nDevelop relationship and event extraction from structured and unstructured data using NLP / information-extraction techniques\nIntegrate curated data from the data engineering team into graph ingestion workflows\nImplement confidence scoring, provenance, and source attribution for graph assertions\n\nGraph AnalyticsQuery\n\nDevelop graph queries, traversals, and analytics (centrality, community detection, pathfinding, link analysis)\nExpose graph capabilities via APIs and query interfaces for analysts and applications\nOptimize graph storage, indexing, and query performance at scale\n\nSecurityCompliance\n\nEnsure the graph and its interfaces meet security requirements for sensitive environments\nImplement access control, encryption, and secure handling of graph data\nSupport Authority to Operate (ATO) processes and compliance frameworks\nRequired Qualifications\nTechnical Expertise\n4+ years of software or data engineering experience, including hands-on knowledge graph work\nExperience with graph databases (Neo4j, Amazon Neptune, TigerGraph, JanusGraph, or similar)\nProficiency with graph query languages (Cypher, Gremlin, or SPARQL)\nStrong programming skills in Python (Java or Scala a plus)\nExperience with entity resolution / record-linkage techniques and tooling\nUnderstanding of ontology and semantic modeling (RDF, OWL, property graphs)\n\nNLPData Integration\n\nExperience with NLP / information extraction (spaCy, Hugging Face, or similar) for entity and relationship extraction\nExperience integrating heterogeneous structured and unstructured data\nFamiliarity with vector embeddings and similarity-based linking\n\nDomain Knowledge\n\nExperience building or maintaining production knowledge graphs\nUnderstanding of data provenance, confidence, and source attribution\nPreferred Qualifications\nActive security clearance or ability to obtain one\nExperience in government, defense, or intelligence contracting environments\nFamiliarity with PAI/CAI data sources and entity-centric analysis\nExperience with link analysis and network/graph analytics for investigative use cases\nKnowledge of geospatial-temporal data in a graph context\nExperience integrating knowledge graphs with LLM / RAG systems (GraphRAG)\nFamiliarity with federal compliance frameworks (FedRAMP, FISMA, NIST 800-53)\nTechnical Environment\nGraph: Neo4j / Neptune / JanusGraph; Cypher, Gremlin, SPARQL\nLanguages: Python (Java/Scala a plus)\nNLP/ML: spaCy, Hugging Face, embeddings, entity-resolution frameworks\nData: Integration with platform data pipelines; RDF / property-graph models\nInfrastructure: Docker, Kubernetes, cloud platforms (AWS GovCloud, Azure Government)\nSecurity: RBAC, encryption, secure APIs\n\nThis role owns the connective tissue of the platform: the ontology and graph that let analysts move from isolated records to the relationships, networks, and patterns that drive insight.","company":"3gimbalsllc","rawCompany":"3gimbalsllc","city":"Virginia Beach","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-21T11:03:28.012Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"33-3021.06","title":"Intelligence Analysts","slug":"intelligence-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Knowledge Graph Engineer – Entity Resolution & Graph Analytics","description":"Role Overview\n\n3GIMBALS is seeking a Knowledge Graph Engineer to design, build, and maintain the knowledge graph that underpins our unclassified PAI/CAI-based analytic platform. This role is responsible for modeling ontologies, engineering entity resolution and relationship-extraction pipelines, and delivering graph-based analytics that connect people, organizations, locations, events, and other entities across large, heterogeneous data sources. The ideal candidate blends data engineering, semantic modeling, and NLP to turn disparate data into a coherent, queryable graph that powers analytic discovery.\n\nKey Responsibilities\n\nOntologyGraph Modeling\n\nDesign and evolve ontologies, schemas, and taxonomies for entities and relationships\nModel complex, multi-source data into a coherent, queryable knowledge graph\nDefine and maintain graph data standards, naming conventions, and semantics\n\nEntity ResolutionData Integration\n\nBuild entity resolution, deduplication, and record-linkage pipelines across disparate sources\nDevelop relationship and event extraction from structured and unstructured data using NLP / information-extraction techniques\nIntegrate curated data from the data engineering team into graph ingestion workflows\nImplement confidence scoring, provenance, and source attribution for graph assertions\n\nGraph AnalyticsQuery\n\nDevelop graph queries, traversals, and analytics (centrality, community detection, pathfinding, link analysis)\nExpose graph capabilities via APIs and query interfaces for analysts and applications\nOptimize graph storage, indexing, and query performance at scale\n\nSecurityCompliance\n\nEnsure the graph and its interfaces meet security requirements for sensitive environments\nImplement access control, encryption, and secure handling of graph data\nSupport Authority to Operate (ATO) processes and compliance frameworks\nRequired Qualifications\nTechnical Expertise\n4+ years of software or data engineering experience, including hands-on knowledge graph work\nExperience with graph databases (Neo4j, Amazon Neptune, TigerGraph, JanusGraph, or similar)\nProficiency with graph query languages (Cypher, Gremlin, or SPARQL)\nStrong programming skills in Python (Java or Scala a plus)\nExperience with entity resolution / record-linkage techniques and tooling\nUnderstanding of ontology and semantic modeling (RDF, OWL, property graphs)\n\nNLPData Integration\n\nExperience with NLP / information extraction (spaCy, Hugging Face, or similar) for entity and relationship extraction\nExperience integrating heterogeneous structured and unstructured data\nFamiliarity with vector embeddings and similarity-based linking\n\nDomain Knowledge\n\nExperience building or maintaining production knowledge graphs\nUnderstanding of data provenance, confidence, and source attribution\nPreferred Qualifications\nActive security clearance or ability to obtain one\nExperience in government, defense, or intelligence contracting environments\nFamiliarity with PAI/CAI data sources and entity-centric analysis\nExperience with link analysis and network/graph analytics for investigative use cases\nKnowledge of geospatial-temporal data in a graph context\nExperience integrating knowledge graphs with LLM / RAG systems (GraphRAG)\nFamiliarity with federal compliance frameworks (FedRAMP, FISMA, NIST 800-53)\nTechnical Environment\nGraph: Neo4j / Neptune / JanusGraph; Cypher, Gremlin, SPARQL\nLanguages: Python (Java/Scala a plus)\nNLP/ML: spaCy, Hugging Face, embeddings, entity-resolution frameworks\nData: Integration with platform data pipelines; RDF / property-graph models\nInfrastructure: Docker, Kubernetes, cloud platforms (AWS GovCloud, Azure Government)\nSecurity: RBAC, encryption, secure APIs\n\nThis role owns the connective tissue of the platform: the ontology and graph that let analysts move from isolated records to the relationships, networks, and patterns that drive insight.","datePosted":"2026-09-21T11:03:28.012Z","dateModified":"2026-09-21T11:03:28.012Z","hiringOrganization":{"@type":"Organization","name":"3gimbalsllc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Virginia Beach","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c50c852e6d015d31918afb13"},"url":"https://jobsearcher.com/jobs/c50c852e6d015d31918afb13"}}