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Graph Jobs in Virginia (NOW HIRING)

Noblis

Data Architect IV with Security Clearance

Chantilly, VA · On-site

$66 - $84.75/hr

Architects hybrid retrieval ( GraphRAG ) systems that combine graph-based semantic querying with vector search and traditional retrieval methods to power autonomous, agentic workflows and multi-step ...

Noblis

Data Architect IV

Chantilly, VA · On-site

$65.25 - $84/hr

Architects hybrid retrieval (GraphRAG) systems that combine graph-based semantic querying with vector search and traditional retrieval methods to power autonomous, agentic workflows and multi-step ...

TSC

Senior AI Engineer

Dahlgren, VA · On-site

$106K - $146K/yr

TSC is seeking a Senior Ontology Engineer to design, develop, and maintain ontological frameworks and knowledge graph solutions in support of defense mission engineering programs. The ideal candidate ...

Cisco

Applied AI Scientist

Arlington, VA

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 ...

Cisco

Applied AI Scientist

Ashburn, VA

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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All JobsGraph JobsGraph Jobs in Virginia

Graph information

See Virginia salary details

$9

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$118

How much do graph jobs pay per hour?

As of Aug 25, 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.

What is a graph?

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.

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 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.

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 careers use graphs?

Careers that use graphs include data analysts, statisticians, data scientists, and business analysts, who interpret and visualize data to support decision-making. These roles often require skills in data visualization tools like Excel, Tableau, or Power BI, and involve analyzing trends, patterns, and relationships within data sets.

What are popular job titles related to Graph jobs in Virginia?

For Graph jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Graph jobs in Virginia look for?

The top searched job categories for Graph jobs in Virginia are:

Graph jobs near you
Infographic showing various Graph job openings in Virginia as of August 2026, with employment types broken down into 70% Full Time, 26% Part Time, and 4% Contract. Highlights an 62% Physical, 6% Hybrid, and 32% Remote job distribution, with an average salary of $63,997 per year, or $30.8 per hour.

Graph Database Engineer

Chantilly, VA • On-site

Cornerstone Defense
Library and Information Services • 51 - 200 employees
Learn more about Cornerstone Defenseexternal

Contractor

Re-posted 17 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

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