Ontology / Knowledge Graph Engineer

Berkeley Heights, NJ, US • Posted 2 days ago • Updated 2 days ago
Contract Independent
Contract W2
Contract Corp To Corp
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • RDF
  • ontology
  • OWL

Summary

Job Title: Ontology / Knowledge Graph Engineer
Location: Berkeley Heights, NJ (5 Days Onsite)
Job Type: Full-time

Job Overview:
We are seeking a highly skilled Ontology / Knowledge Graph Engineer to design, develop, and manage enterprise-scale knowledge graphs and ontologies. The ideal candidate will have strong expertise in semantic technologies, graph data modeling, and ontology-driven knowledge systems.

Key Responsibilities:

  • Design and develop ontologies and knowledge graphs for complex data domains

  • Build and manage RDF/Property graph-based data models

  • Implement semantic models using OWL, RDF, and SHACL

  • Develop and optimize SPARQL queries for data retrieval and analytics

  • Perform ontological inference, reasoning, and consistency checks

  • Work on entity resolution and semantic data integration

  • Collaborate with cross-functional teams to translate business requirements into knowledge models

  • Support graph analytics and insights generation

Required Skills:

  • Strong experience in Ontology Engineering & Knowledge Modeling

  • Expertise in OWL, RDF, SPARQL, SHACL, JSON-LD

  • Hands-on experience with Knowledge Graphs (RDF & Property Graphs)

  • Experience in Graph Data Modeling & Semantic Modeling

  • Knowledge of Ontological Inference & Consistency Checking

  • Experience with Entity Resolution

Technologies:
Protégé, TopBraid Composer, OntoStudio, Neo4j, Stardog, GraphDB, Apache Jena, Fuseki, Blazegraph, Virtuoso

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113809
  • Position Id: 106052-1090-
  • Posted 2 days ago
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