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Neo4J Knowledge Graph Jobs (NOW HIRING)

United Airlines

$112 - $147/hr

Design and implement scalable, enterprise-grade knowledge graph schemas using property graph (e.g., Neo4j, TigerGraph) and/or RDF-based models. * Ontology Engineering: Define and maintain formal ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Define and implement best practices for knowledge graph development, implementation, and ... Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Define and implement best practices for knowledge graph development, implementation, and ... Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong ...

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How much do neo4j knowledge graph jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for neo4j knowledge graph in the United States is $61.83, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $67.79 per hour, depending on experience, location, and employer.

What is a Neo4j knowledge graph?

A Neo4j Knowledge Graph is a data representation approach that uses the Neo4j graph database to model, store, and query complex relationships between entities. Unlike traditional databases, Neo4j organizes data as nodes and relationships, making it ideal for connecting information and uncovering hidden patterns. Knowledge graphs built with Neo4j are widely used for applications such as recommendation systems, fraud detection, and semantic search. They allow organizations to gain deeper insights by visualizing and querying interconnected data efficiently.

What are some typical challenges faced when implementing and maintaining Neo4j knowledge graphs in an enterprise environment?

One common challenge is ensuring data consistency and integrity as the graph grows and new data sources are integrated. Professionals working with Neo4j knowledge graphs often need to collaborate closely with data engineers, domain experts, and developers to design an effective data model and maintain optimal performance. Regularly updating and optimizing Cypher queries, managing access controls, and keeping the graph schema aligned with evolving business needs are also key responsibilities. Staying up-to-date with best practices and new Neo4j features can significantly ease these challenges and support successful project delivery.

What are the key skills and qualifications needed to thrive as a Neo4j knowledge graph engineer, and why are they important?

To excel as a Neo4j Knowledge Graph Engineer, you need strong skills in graph data modeling, Cypher query language, and database management, often supported by a degree in computer science or a related field. Familiarity with Neo4j tools, graph database platforms, and certifications like Neo4j Certified Professional are highly valued. Analytical thinking, problem-solving, and effective communication help you translate complex relationships into actionable insights and collaborate with cross-functional teams. These competencies are crucial for designing efficient knowledge graphs, ensuring data integrity, and enabling advanced data-driven decision-making.

What is the difference between Neo4J Knowledge Graph vs Data Scientist?

AspectNeo4J Knowledge GraphData Scientist
Required CredentialsGraph database knowledge, often certifications in Neo4JStatistics, programming, data analysis degrees or certifications
Work EnvironmentPrimarily working with graph databases, data modeling, and queryingData analysis, modeling, and predictive analytics in various tools
Industry UsageUsed in data integration, knowledge management, and graph analyticsApplied across industries for insights, forecasting, and decision-making

Neo4J Knowledge Graph specialists focus on designing and querying graph databases, while Data Scientists analyze data to extract insights. Both roles require strong analytical skills but differ in tools and focus areas.

Infographic showing various Neo4J Knowledge Graph job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Knowledge Graph Engineer

IMR Soft LLC

Berkeley Heights, NJ • On-site

Other

Posted 4 days ago

Job description

Job title: Knowledge Graph Engineer
Berkeley heights, NJ (5days Onsite)
12 Months contract
 
skills:
Ontology
Ontology engineering
Knowledge modeling
OWL
RDF
SPARQL
SHACL
JSON‑LD
Ontological inference
Consistency checking
Knowledge graphs
Property graphs
RDF graphs
Graph data modeling
Graph analytics
Ontology‑driven KG design
Entity resolution
Entity resolution
Semantic modeling
 
technologies:
 
Protégé
TopBraid Composer
OntoStudio
Neo4j
Stardog
GraphDB
Apache Jena
Fuseki
Blazegraph
Virtuoso
 
IMR Soft logo

About IMR Soft

Sourced by ZipRecruiter

IMR Soft. is one of the fastest-growing, USA based Information Technology company specializing in software development and IT Services. Founded in 2017, by a team of experienced professionals with a solid base in IT and Management. Headquartered in Princeton, New Jersey. We help clients Create the Future. We deliver innovative information technology solutions and unlimited services that benefit our clients by maximizing their performance. We combine tech expertise and business intelligence to catalyze change and deliver results. In a world that is constantly changing, companies are faced with the challenge of continually adapting to a dynamic environment.

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2017

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