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Graph Data Engineer Jobs (NOW HIRING)

Kanak Elite Services Inc

Lead data engineer

Saint Louis, MO · On-site

$99K - $131K/yr

Strong experience with Spark, Python, Azure Data Factory, Alteryx/NiFi for ETL, Microsoft Graph ... engineer of the project team. Responsibilities: * Assists senior resources in the assessment ...

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Graph Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do graph data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for graph data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Graph Data Engineer vs Data Scientist?

AspectGraph Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentData engineering teams, cloud platforms, big data toolsResearch teams, analytics platforms, machine learning environments
Industry UsageTech, finance, e-commerce, where graph databases are usedHealthcare, marketing, finance, focusing on data analysis and modeling

The main difference is that Graph Data Engineers focus on building and maintaining graph databases and pipelines, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their core responsibilities differ in data infrastructure versus data analysis.

What is a graph data engineer?

A graph data engineer designs, develops, and maintains systems that store and process data using graph databases and graph processing techniques. They work with tools like Neo4j, Apache TinkerPop, or JanusGraph and often require knowledge of graph algorithms, data modeling, and query languages such as Cypher or Gremlin.

What cities are hiring for Graph Data Engineer jobs?

Cities with the most Graph Data Engineer job openings:

What states have the most Graph Data Engineer jobs?

States with the most job openings for Graph Data Engineer jobs include:

What are popular job titles related to Graph Data Engineer jobs?

For Graph Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Graph Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Ontology / Knowledge Graph Engineer

Watchung, NJ • On-site

2T Consulting
IT Services • 51 - 200 employees
Learn more about 2T Consultingexternal

Full-time

Posted 5 days ago

Job description

We are seeking an experienced Ontology / Knowledge Graph Engineer with strong expertise in ontology engineering, semantic modeling, and knowledge graph development. The ideal candidate will have hands-on experience designing and implementing ontology-driven knowledge graphs using standards such as OWL, RDF, SPARQL, SHACL, and JSON-LD.

Required Skills
  • Strong experience in Ontology Engineering and ontology-driven knowledge graph design.
  • Expertise in Knowledge Modeling and Semantic Modeling.
  • Hands-on experience with OWL, RDF, SPARQL, SHACL, and JSON-LD.
  • Experience with Ontological Inference and consistency checking.
  • Strong knowledge of Knowledge Graphs, RDF Graphs, and Property Graphs.
  • Experience with Graph Data Modeling and Graph Analytics.
  • Hands-on experience with Entity Resolution.
  • Ability to design and implement scalable semantic and knowledge graph solutions.
Technologies / Tools
  • Protégé
  • TopBraid Composer
  • OntoStudio
  • Neo4j
  • Stardog
  • GraphDB
  • Apache Jena
  • Fuseki
  • Blazegraph
  • Virtuoso
Key Responsibilities
  • Design, develop, and maintain enterprise ontologies and semantic models.
  • Build ontology-driven Knowledge Graph (KG) solutions aligned with business and technical requirements.
  • Develop and manage RDF-based knowledge graphs using OWL, RDF, SPARQL, SHACL, and JSON-LD.
  • Implement ontological inference and reasoning capabilities.
  • Perform consistency checking and validation of ontologies and knowledge graph data.
  • Develop graph data models and support both RDF and property graph architectures.
  • Implement entity resolution and semantic relationships across disparate data sources.
  • Perform graph analytics to derive insights from connected data.
  • Use ontology and knowledge graph tools such as Protégé, TopBraid Composer, Stardog, GraphDB, Neo4j, and Apache Jena.
  • Collaborate with data engineers, architects, and business stakeholders to define semantic requirements and modeling standards.
  • Establish best practices for ontology governance, versioning, validation, and knowledge graph quality.

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