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Neo4J Knowledge Graph Jobs (NOW HIRING)

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

  • Retirement

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

  • Retirement

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 ...

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 ...

Neo4j

Senior AI Solutions Architect

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready ...

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How much do neo4j knowledge graph jobs pay per hour?

As of Aug 13, 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 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 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.

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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Senior Knowledge Graph Developer

United Airlines, Inc.

Chicago, IL • On-site

$124K - $161K/yr

Full-time

Posted 13 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
We are seeking an experienced and passionateSenior Knowledge Graph Developerto design, build, and scale our enterprise knowledge graph initiatives. In this role, you will be the technical lead responsible for transforming complex, siloed data into an interconnected, semantic knowledge layer. You will bridge the gap between data engineering, ontology design, and AI/ML applications, ensuring our knowledge graphs are performant, governed, and instrumental in powering our next-generation AI and analytics solutions.
Key Responsibilities
  • Architecture & Design: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 ontologies, taxonomies, and semantic models that standardize business meaning and entity relationships across domains.

  • Data Integration & Pipeline Development:Lead the development of robust ETL/ELT pipelines to ingest, transform, and map heterogeneous data sources (RDBMS, NoSQL, APIs, unstructured text) into the knowledge graph.

  • Query & API Optimization:Develop, optimize, and maintain complex graph queries (Cypher, SPARQL, Gremlin). Design stable, high-performance APIs to expose graph data for downstream AI services and applications.

  • AI/ML Integration:Collaborate with data science teams to integrate the knowledge graph with LLMs, RAG (Retrieval-Augmented Generation) pipelines, graph embeddings, and other agentic frameworks to enhance reasoning and explainability.

  • Governance & Performance:Establish best practices for graph data quality, lineage, access control, and metadata management. Monitor graph performance and optimize indexing and traversal strategies for production environments.

  • Technical Leadership:Act as a subject matter expert and mentor for junior engineers. Drive adoption of graph technologies through documentation, code reviews, and community-of-practice contributions.

Qualifications
Required Qualifications
  • Experience:6-10+ years of software engineering or data architecture experience, with at least 4+ years dedicated to knowledge graph engineering, graph database development, or semantic web technologies.

  • Graph Technology Expertise:Proven hands-on experience with at least one major graph platform (e.g., Neo4j, AWS Neptune, Stardog, TigerGraph, GraphDB).

  • Query Languages:Deep proficiency in at least one graph query language (Cypher, SPARQL, or Gremlin).

  • Semantic Modeling:Strong understanding of RDF, OWL, RDFS, SKOS, and linked data principles.

  • Programming:Advanced proficiency in Python or Java for data processing, graph ingestion, and API development.

  • AI/ML Familiarity:Experience with or strong interest in graph-augmented AI, vector search, RAG, and large language model integration patterns.

  • Cloud & Infrastructure:Experience deploying and managing graph solutions in cloud environments (AWS, GCP, or Azure) using containerized workflows (Docker/Kubernetes).

Preferred Qualifications
  • Experience with ontology design tools like Protégé.

  • Knowledge of semantic validation frameworks such as SHACL or ShEx.

  • Experience working in a regulated industry with strict data governance, lineage, and PII requirements.

  • Proven track record of moving graph-based projects from PoC to production-scale enterprise capabilities.

What United Airlines employees say

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Hours and flexibility

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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