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Graph Database Jobs in Virginia (NOW HIRING)

Familiarity with Graph database technology * Data modeling experience Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe ...

Familiarity with Graph database technology * Data modeling experience Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe ...

Database Engineer

Herndon, VA · On-site

$112K - $179K/yr

Familiarity with Graph database technology * Data modeling experience Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe ...

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Graph Database information

See Virginia salary details

$26

$52

$80

How much do graph database jobs pay per hour?

As of May 31, 2026, the average hourly pay for graph database in Virginia is $52.66, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.57 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.
What are the most commonly searched types of Graph Database jobs in Virginia? The most popular types of Graph Database jobs in Virginia are:
What job categories do people searching Graph Database jobs in Virginia look for? The top searched job categories for Graph Database jobs in Virginia are:
What cities in Virginia are hiring for Graph Database jobs? Cities in Virginia with the most Graph Database job openings:
Infographic showing various Graph Database job openings in Virginia as of May 2026, with employment types broken down into 1% As Needed, 43% Full Time, 12% Part Time, 4% Temporary, 39% Contract, and 1% Nights. Highlights an 35% Physical, 19% Hybrid, and 46% Remote job distribution, with an average salary of $109,541 per year, or $52.7 per hour.

Graph Database Engineer

Cornerstone Defense

Chantilly, VA • On-site

Contractor

Posted 21 days ago


Job description

  • Location: Chantilly, Virginia
  • Type: Contract
  • Job #3612

GRAPH DATABASE ENGINEER
Chantilly, VA

JOB DESCRIPTION
We are looking for an experienced Systems Software Engineer to join our team, interested in designing, developing and maintaining essential software systems. The optimal candidate will have demonstrated experience integrating solutions with graph databases, such as JanusGraph. They will also have a strong background in systems software development, experience with 3rd party system integration, expertise in ElasticSearch, and a solid understanding of data modeling concepts. This is a fantastic opportunity to work on a challenging project that requires innovative solutions and collaborative problem-solving.
KEY RESPONSIBILITIES
• Design, develop, test, and deploy scalable and efficient software solutions
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Participate with code reviews and ensure high-quality, modular, and reusable code
• Troubleshoot and debug issues in the application, including performance optimization and error handling
• Stay up-to-date with industry trends and emerging technologies, applying this knowledge to improve our application
• Design and implement data models that meet the needs of the application, ensuring data consistency and integrity
EDUCATION AND EXPERIENCE
• Bachelor's Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
• 5+ years of related software development experience.
REQUIRED QUALIFICATIONS
• 5+ years of experience in systems software development in NodeJS
• Strong proficiency working with graph databases (for example JanusGraph) and graph query languages
• Strong understanding of software design patterns, principles and best practices
• Excellent problem-solving skills, with the ability to work effectively in a team environment
• Basic understanding of data modeling concepts, including entity-relationship, data normalization, and denormalization
• Experience with Git workflows, including feature branching, pull requests and code reviews
• Ability to work effectively in a Linux-based development environment
DESIRED QUALIFICATIONS
• Experience with Node.js, Express, MongoDB and Cassandra
• In-depth knowledge of ElasticSearch, including indexing, querying and aggregation
• Knowledge of containerization leveraging Kubernetes
• Familiarity with CI/CD pipelines and automation tools such as Jenkins or Argo CD
• Hands-on experience working with message brokers such as RabbitMQ or AWS SQS