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Neo4J Knowledge Graph Jobs (NOW HIRING)

Spiceorb

Knowledge Graph Engineer

Frisco, TX · On-site

Knowledge Graph Engineer Location: Frisco, TX and Atlanta, GA (Onsite) Duration: Contract Must ... Graph DB (Neptune OR Neo4j OR Tiger Graph) * Gremlin OR Cypher Good to have: * Neptune specific

Point72

Data Engineer, Knowledge Graph

New York, NY

$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 ...

Info Way Solutions

Neo4j Developer

Sunnyvale, CA · On-site

Data models for Property-Graph databases e.g. Neo4j Master, Reference and Metadata Management, Data Quality, Integration, Interoperability Query Languages for Property-Graph or Knowledge-Graph, NoSQL ...

Navtech, Inc.

Neo4J Developer

Rockville, MD · On-site

$53.50 - $69/hr

Neo4J Developer Location: Rockville. MD - 100% Remote Duration: Long Term Contract Client is ... Query Languages for Property-Graph or Knowledge-Graph, NoSQL, and Relational databases e.g. Gremlin ...

EPAM Systems

Data Solution Architect

Manhattan, NY · On-site

The platform integrates a Snowflake-backed data lake, dual-graph knowledge architecture (Neo4j), and a governed LLM advisor, all exposed via streaming chat and voice. The stack includes a React ...

EPAM

Data Solution Architect

Manhattan, NY · On-site

The platform integrates a Snowflake-backed data lake, dual-graph knowledge architecture (Neo4j), and a governed LLM advisor, all exposed via streaming chat and voice. The stack includes a React ...

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How much do neo4j knowledge graph jobs pay per hour?

As of Jun 29, 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 big companies use Neo4j?

Many large companies across various industries use Neo4j for managing complex data relationships, including banking, telecommunications, and technology firms. Notable users include eBay, Walmart, and NASA, which leverage Neo4j's graph database capabilities for fraud detection, recommendation engines, and data integration. Job seekers with Neo4j knowledge can find opportunities in data engineering, analytics, and software development roles within these organizations.

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.

How much do Neo4j data engineers make?

Neo4j data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and certifications. Strong knowledge of graph databases, Cypher query language, and data modeling can influence salary levels.

Is Neo4j in demand?

Neo4j knowledge graph specialists are in increasing demand due to the growing use of graph databases in data analysis, recommendation systems, and fraud detection. Skills in Cypher query language, data modeling, and graph database management enhance job prospects in this field.

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.

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.

Is Neo4j used in industry?

Neo4j is widely used in industry for building knowledge graphs, social networks, fraud detection, and recommendation systems. As a graph database, it requires skills in Cypher query language and data modeling, making it valuable for roles involving data integration and analytics.

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.
Infographic showing various Neo4J Knowledge Graph job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Temporary. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Knowledge Graph Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 16 days ago

Job description

Job Description2 (knowledge graph engineer)
Remote
Responsibilities:
The ideal candidate will have expertise in designing, implementing, and optimizing graph databases, with a strong focus on utilizing Neo4j or other graph databases for knowledge graph applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships.
  • Design and implement graph databases to efficiently store and retrieve high-dimensional data.
  • Utilize Neo4j for creating and managing knowledge graphs, ensuring optimal performance and scalability.
  • Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and relationships.
  • Implement graph algorithms to extract meaningful insights from the knowledge graph.
  • Optimize database queries, finetune graphs, indexing strategies for graph operations.
  • Identify and resolve performance bottlenecks to ensure efficient data retrieval.
  • Collaborate with application developers to integrate graph databases, knowledge graphs into various software solutions.
  • Provide support for query optimization and data modeling for application-specific requirements.
  • Implement and maintain data security measures for graph databases and knowledge graphs.
  • Ensure compliance with relevant data protection regulations and industry standards.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Technical skills:
  • Understanding of graph data model paradigms (LPG, RDF) and graph languages (Gremlin & SparQL are optional), hands-on experience is required
  • Solid understanding of graph data modeling, graph schema development, graph data design.
  • Familiarity with machine learning and GenAI concepts related to graph data.
  • Experience with cloud-based database solutions and knowledge of distributed database systems.
  • Proven experience in designing and implementing graph databases, knowledge graph with a focus on Neo4j or other like Neptune/Cosmos/TigerGraph etc. for knowledge graph applications.
  • Strong proficiency in database optimization, performance tuning, and query languages.
  • Familiarity with graph algorithms and data modeling for knowledge graphs.
  • Experience with other relevant programming languages, such as Python, Java, or Scala.
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.

Soft skills:
  • Strong work ethic and desire to produce quality results
  • Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
  • Continuous Improvement mindset and approach to work product
  • Ability to take complex subjects and simplify it to less technical individuals
  • Provides clear documentation of processes, workflows, recommendations, etc.
  • High level of critical thinking capabilities
  • Organized and has the ability to manage work effectively, escalating issues as appropriate
  • Takes initiative & is a self-starter
  • Displays ownership of their work (quality, timeliness)
  • Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
  • Should be able to communicate with stakeholders directly and independently
  • Should have good problem solving skills

Candidate Profile:
  • 8+ years of experience working with data engineering with atleast 2-3 years of experience working on graph databases.
  • Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • Outstanding written and verbal communication skills
  • Superior analytical and problem solving skills
  • Experience in working in dual shore engagement is preferred
  • Must have experience in managing clients directly
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe

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