Knowledge Graph Engineer

IMR Soft LLC; Berkeley Heights (NJ); On-site; USD 110,000 - 170,000; Full time

Job summary

IMR Soft LLC in New Jersey seeks an Ontology / Knowledge Graph Engineer to design, develop, and maintain ontologies and KG solutions using RDF/OWL standards and graph databases. You will translate business concepts into semantic data models and scalable architectures.

Responsibilities include reasoning, inference, SPARQL queries, and data integration, with emphasis on accuracy, consistency, and enterprise-scale knowledge graphs.

Qualifications

• Experience designing enterprise ontologies and knowledge graphs.
• Strong proficiency in RDF/OWL and SPARQL concepts.
• Ability to implement reasoning, inference, and data validation.
• Experience with ontology-driven data modeling and semantic integrations.

Responsibilities

• Design and develop enterprise ontologies and knowledge graphs
• Build semantic data models and ontology-driven KG architectures
• Implement reasoning, inference, and consistency validation
• Develop SPARQL queries and semantic integrations
• Perform entity resolution and graph analytics

Skills

Ontology Engineering

Knowledge Graph Design

RDF/OWL

SPARQL

SHACL

JSON-LD

Entity Resolution

Graph Analytics

Tools

Neo4j

Stardog

GraphDB

Job description

Role: Ontology / Knowledge Graph Engineer

We are seeking an experienced Ontology/Knowledge Graph Engineer with strong expertise in ontology engineering, semantic technologies, and knowledge graph development. The ideal candidate will design, develop, and maintain ontologies and knowledge graph solutions using RDF/OWL standards and graph database technologies.

Required Skills:

• Ontology Engineering & Knowledge Modeling
• OWL, RDF, SPARQL, SHACL, JSON-LD
• Ontological Inference & Consistency Checking
• Knowledge Graph Design and Semantic Modeling
• Entity Resolution & Graph Analytics
• Property Graphs and RDF Graphs

Tools & Technologies:

• Neo4j, Stardog, GraphDB

Responsibilities:

• Design and develop enterprise ontologies and knowledge graphs
• Build semantic data models and ontology-driven KG architectures
• Implement reasoning, inference, and consistency validation
• Develop SPARQL queries and semantic integrations
• Perform entity resolution and graph analytics