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Graph Database Jobs (NOW HIRING)

IT America Inc

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Graph Database Architect Location: Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database Architect to design, optimize, and implement scalable graph-based ...

United Airlines

Neo4J Graph Database Engineer

Atlanta, GA

$110K - $132K/yr

Location The job is located in Charlotte, NC - Onsite Hybrid Your Role We are seeking a Graph Database Engineer with strong hands on experience in Neo4j to design and deliver graph based fraud ...

Kanak Elite Services Inc

Graph Developer

New York, NY · On-site

Ensure the graph database and related applications are scalable, performant, and secure. * Collaboration: Work with stakeholders and cross-functional teams (like data scientists, analysts, and other ...

Zortech Solutions

Tiger Graph Developer

Charlotte, NC · On-site

$65 - $68/hr

Graph database, Tiger Graph or Neo4j or Graph QL or Graph SQL The role: * TigerGraph Developer will work with a Cyber Crime Defense team to design, implement, and maintain graph database solutions ...

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How much do graph database jobs pay per hour?

As of Jun 8, 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:
What are the most commonly searched types of Graph Database jobs? The most popular types of Graph Database jobs are:
What states have the most Graph Database jobs? States with the most job openings for Graph Database jobs include:
What job categories do people searching Graph Database jobs look for? The top searched job categories for Graph Database jobs are:
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 27% Full Time, 50% Part Time, 3% Temporary, 19% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,489 per year, or $53.1 per hour.
Graph Database Architect

Graph Database Architect

IT America Inc

Bellevue, WA • Remote

$65.25 - $84/hr

Contractor

Posted 19 days ago

Job description

Position: Graph Database Architect

Location: Remote

Duration: Long term contract

About the Role:

We are seeking an experienced Graph Database Architect to design, optimize, and implement scalable graph-based data solutions. The ideal candidate will bring deep expertise in OWL/RDF ontology design, performance optimization, and hands-on experience with leading graph database technologies, particularly within Azure Cosmos DB.

Key Responsibilities:

  • Design and implement graph database solutions with a focus on ontology modelling (OWL, RDF).
  • Architect and optimize data models for scalability, performance, and maintainability.
  • Develop and maintain graph-based queries and pipelines using Gremlin, Cypher, and related query languages.
  • Lead data integration and transformation efforts to support complex R&D, analytics, or business use cases.
  • Collaborate with cross-functional teams to translate business requirements into graph-based technical solutions.
  • Provide performance tuning, monitoring, and optimization of graph workloads in Azure Cosmos DB.
  • Ensure compliance with data security, governance, and industry standards.

Required Skills & Experience:

  • 8+ years of overall data architecture experience, with at least 3+ years focused on graph database solutions.
  • Strong knowledge of OWL/RDF, ontology design, and semantic web standards.
  • Proven hands-on experience with Gremlin, Cypher, Neo4j, and other graph query languages.
  • Expertise in Azure Cosmos DB (graph API), including deployment, scaling, and performance optimization.
  • Strong understanding of data modeling, indexing, and query optimization techniques.
  • Experience in integrating graph databases with enterprise applications, APIs, and data pipelines.
  • Excellent problem-solving and communication skills to bridge business and technical requirements.

Nice to Have:

  • Familiarity with other cloud data platforms (AWS Neptune, GCP Graph Solutions).
  • Knowledge of machine learning or AI applications leveraging graph databases.
  • Experience in ontology-driven analytics or semantic data integration.