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Graph Jobs in Virginia (NOW HIRING)

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured ...

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Graph information

See Virginia salary details

$9

$30

$118

How much do graph jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for graph in Virginia is $30.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $25.72 per hour, depending on experience, location, and employer.

How does a Graph Database Engineer typically collaborate with data scientists and software developers in a project setting?

Graph Database Engineers often work closely with data scientists to design and optimize data models that support complex relationships and queries. They collaborate with software developers to integrate graph databases into applications, ensuring seamless data flow and performance. Regular meetings and code reviews help align database structures with business requirements and analytical goals. This cross-functional teamwork is essential for delivering scalable, high-performing solutions that leverage graph-based data.

What is a Graph job?

A Graph job typically refers to a position involving the analysis, visualization, or implementation of graph-based data structures and algorithms. This may include working with graph databases, network analysis, or machine learning applications that leverage graph theory. Common roles include Graph Data Scientist, Graph Engineer, or Network Analyst, often requiring expertise in tools like Neo4j, GraphQL, or NetworkX. These jobs are commonly found in industries such as social networks, cybersecurity, recommendation systems, and logistics.

What is the difference between Graph vs Data Analyst?

AspectGraphData Analyst
Required CredentialsTypically no formal degree, but knowledge of graph theory helpsBachelor's or higher in data science, statistics, or related fields
Work EnvironmentResearch, academia, or specialized tech rolesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in computer science, mathematics, and research projectsApplied in analyzing data trends, reporting, and decision-making

While a graph refers to a mathematical or visual representation of data, a Data Analyst is a professional who interprets data, often using graphs as tools. The Data Analyst's role involves analyzing data sets, creating visualizations, and providing insights, whereas a graph is a component or tool used within data analysis processes.

What are Graph jobs?

Graph jobs typically refer to roles that involve working with graph data structures, graph databases, or graph theory. These jobs can include positions such as data scientists, software engineers, or researchers who analyze relationships between data points, model complex networks, or optimize algorithms for graph traversal. Graph jobs are commonly found in industries like technology, finance, telecommunications, and social media, where understanding connections and networks is crucial. Professionals in these roles often use tools such as Neo4j, GraphQL, or NetworkX to handle and analyze graph data. A strong background in mathematics, computer science, or data analysis is often required.

What are the key skills and qualifications needed to thrive as a Graphic Designer, and why are they important?

To thrive as a Graphic Designer, you need a strong foundation in design principles, creativity, and proficiency in visual communication, often supported by a degree in graphic design or a related field. Mastery of technical tools such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) and knowledge of digital asset management systems are typically required. Excellent communication, time management, and collaboration skills help designers effectively convey ideas and work with clients or teams. These skills are essential to producing compelling visuals that meet client goals and stand out in a competitive creative industry.
Infographic showing various Graph job openings in Virginia as of July 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $63,997 per year, or $30.8 per hour.
Graph Database Engineer

Graph Database Engineer

Cornerstone Defense

Chantilly, VA โ€ข On-site

Contractor

Posted 5 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
โ€ข Design, develop, test, and deploy scalable and efficient software solutions
โ€ข Collaborate with cross-functional teams to identify and prioritize project requirements
โ€ข Participate with code reviews and ensure high-quality, modular, and reusable code
โ€ข Troubleshoot and debug issues in the application, including performance optimization and error handling
โ€ข Stay up-to-date with industry trends and emerging technologies, applying this knowledge to improve our application
โ€ข Design and implement data models that meet the needs of the application, ensuring data consistency and integrity
EDUCATION AND EXPERIENCE
โ€ข 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.
โ€ข 5+ years of related software development experience.
REQUIRED QUALIFICATIONS
โ€ข 5+ years of experience in systems software development in NodeJS
โ€ข Strong proficiency working with graph databases (for example JanusGraph) and graph query languages
โ€ข Strong understanding of software design patterns, principles and best practices
โ€ข Excellent problem-solving skills, with the ability to work effectively in a team environment
โ€ข Basic understanding of data modeling concepts, including entity-relationship, data normalization, and denormalization
โ€ข Experience with Git workflows, including feature branching, pull requests and code reviews
โ€ข Ability to work effectively in a Linux-based development environment
DESIRED QUALIFICATIONS
โ€ข Experience with Node.js, Express, MongoDB and Cassandra
โ€ข In-depth knowledge of ElasticSearch, including indexing, querying and aggregation
โ€ข Knowledge of containerization leveraging Kubernetes
โ€ข Familiarity with CI/CD pipelines and automation tools such as Jenkins or Argo CD
โ€ข Hands-on experience working with message brokers such as RabbitMQ or AWS SQS