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Neo4J Knowledge Graph Jobs (NOW HIRING)

2T Consulting

NJ · On-site

OntoStudio * Neo4j * Stardog * GraphDB * Apache Jena * Fuseki * Blazegraph * Virtuoso Key ... Build ontology-driven Knowledge Graph (KG) solutions aligned with business and technical ...

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How much do neo4j knowledge graph jobs pay per hour?

As of Sep 11, 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.

What other helpful pages are available for Neo4J Knowledge Graph?

Other pages related to Neo4J Knowledge Graph:

Infographic showing various Neo4J Knowledge Graph job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Forward Deployed AI Engineer -Neo4j / Knowledge Graph

Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Posted 10 days ago

Job description

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.
We are looking for a Forward Deployed AI Engineer to build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions. The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.
Requirements
  • Build GenAI, RAG, Agentic AI, and AI-powered applications.
  • Develop Neo4j Knowledge Graph / GraphRAG solutions - must have.
  • Build data and AI pipelines using Databricks and PySpark.
  • Develop scalable APIs, microservices, and backend applications using Python or Go.
  • Rapidly prototype and deliver POCs/MVPs for customer requirements.
  • Deploy AI solutions across AWS, Azure, or GCP.
  • Work with LLM frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
  • Troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
  • Act as a technical consultant and work closely with enterprise customers.
Must-Have Skills
  • Neo4j / Knowledge Graph - Mandatory
  • Generative AI / LLM / RAG / Agentic AI
  • Databricks / Spark / PySpark
  • Application Engineering - Python or Go
  • Rapid Prototyping / POC Development
  • Cloud: AWS / Azure / GCP
  • Strong problem-solving and debugging skills
  • Self-driven, customer-focused, and comfortable working in ambiguous environments
Good to Have
LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, Vector DBs, AWS Bedrock, Azure OpenAI, Kubernetes, Docker, Terraform, vLLM/Triton, PyTorch/Hugging Face.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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