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Graph Database Jobs (NOW HIRING)

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125.30K - $150.40K/yr

Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125.30K - $150.40K/yr

Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical ...

Wells Fargo

Lead Graph Data Engineer

Iselin, NJ · On-site

$104.10K - $137.10K/yr

With your background in database engineering and experience with graph technologies, you will help shape our analytics architecture, improve data governance, and turn connected data into meaningful ...

PRIMUS Global Services, Inc

Neo4J Developer

Sunnyvale, CA · On-site

$50 - $52/hr

Neo4J, Graph Databases, NoSQL, Scripting, Cloud Platforms ===== w2 role ===== Job Posting: Neo4J Developer We have an immediate opportunity for a Neo4J Developer to work in Sunnyvale, CA (Hybrid - 3 ...

Redolent, Inc.

NoSql DBA

Charlotte, NC · On-site

This role ensures high availability, performance optimization, security compliance, and operational stability of enterprise graph database platforms, enabling advanced analytics and real-time data ...

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How much do graph database jobs pay per hour?

As of May 30, 2026, the average hourly pay for graph database in the United States is $53.12, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $60.10 per hour, depending on experience, location, and employer.

What is a Graph Database job?

A Graph Database job typically involves working with graph-based database technologies such as Neo4j, ArangoDB, or Amazon Neptune. Professionals in this role design, implement, and optimize graph database models to efficiently store and retrieve complex relationships between data points. Common responsibilities include data modeling, query optimization using graph query languages (e.g., Cypher, Gremlin), and integrating graph databases into larger data ecosystems. These roles are often found in industries like fraud detection, social networking, and recommendation systems, where understanding relationships between data is crucial.

What are the key skills and qualifications needed to thrive in the Graph Database position, and why are they important?

To thrive as a Graph Database Engineer, you need expertise in data modeling, query languages such as Cypher or Gremlin, and a solid understanding of graph theory and database architectures. Familiarity with graph database platforms like Neo4j, Amazon Neptune, or TigerGraph, as well as certifications in relevant technologies, are highly valued. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with development and analytics teams. These competencies are vital for designing efficient graph data solutions, optimizing performance, and supporting business insights through connected data analysis.

What are some common challenges faced by professionals working with graph databases?

One common challenge when working with graph databases is efficiently modeling highly connected data structures to optimize for both query performance and scalability. Professionals must continuously evaluate indexing strategies and traversal queries to prevent bottlenecks as datasets grow. Another challenge is integrating graph databases with existing data pipelines or relational systems, which often requires specialized knowledge. However, these challenges offer opportunities to innovate and collaborate with cross-functional teams to deliver powerful solutions for complex data relationships.
More about Graph Database jobs
What cities are hiring for Graph Database jobs? Cities with the most Graph Database job openings:
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Graph Database jobs near you
Infographic showing various Graph Database job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 30% Full Time, 10% Part Time, 4% Temporary, 54% Contract, and 1% Nights. Highlights an 21% Physical, 24% Hybrid, and 55% Remote job distribution, with an average salary of $110,489 per year, or $53.1 per hour.
Backend Java Developer with Graph IN San Diego, CA (LOCAL ONLY)

Backend Java Developer with Graph IN San Diego, CA (LOCAL ONLY)

talentmovers inc

San Diego, CA • On-site

$53.50 - $69.50/hr

Contractor

Posted 29 days ago

Job description

Job Title: Backend Java Developer with Graph Database Knowledge

Location: San Diego, CA

LOCAL ONLY 

Pay Rate : On C2C

Job Summary:

We are looking for a talented Backend Java Developer with hands-on experience in graph databases to join our growing engineering team. You will be responsible for developing scalable and efficient backend services using Java, and designing and integrating complex data models with graph database systems such as Neo4j or Amazon Neptune.

Key Responsibilities:

  • Design, develop, and maintain backend services and APIs using Java (Spring Boot or similar frameworks)
  • Build and optimize graph-based data models and queries using technologies like Neo4j, Cypher, or Gremlin
  • Integrate graph databases with microservices to deliver advanced querying capabilities and relationship-based analytics
  • Collaborate with front-end developers, data engineers, and product managers to deliver end-to-end solutions
  • Ensure code quality through testing, code reviews, and adherence to software development best practices
  • Monitor and troubleshoot system performance, especially around data modeling and query execution in graph systems
  • Design and implement secure and efficient data access and storage strategies

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 3+ years of backend development experience in Java (Spring Boot, Hibernate, etc.)
  • Hands-on experience with graph databases such as Neo4j, Amazon Neptune, ArangoDB, or OrientDB
  • Strong understanding of graph theory and data modeling techniques for graphs
  • Proficiency in graph query languages such as Cypher or Gremlin
  • Familiarity with RESTful APIs, JSON, and HTTP protocols
  • Experience with relational and NoSQL databases
  • Knowledge of version control tools (e.g., Git) and CI/CD workflows

Preferred Qualifications:

  • Experience designing recommendation systems, fraud detection, or knowledge graphs
  • Understanding of GraphQL and its integration with graph databases
  • Familiarity with containerization (Docker) and orchestration tools (Kubernetes)
  • Exposure to cloud platforms like AWS, GCP, or Azure (especially services like Amazon Neptune)
  • Performance tuning of large-scale graph databases