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Contract Knowledge Graph Jobs in Virginia (NOW HIRING)

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Contract Knowledge Graph information

What is a contract knowledge graph?

A Contract Knowledge Graph is a structured representation of the information and relationships found within contracts. It uses graph technology to map entities such as parties, clauses, obligations, and deadlines, and the connections between them. This makes it easier to search, analyze, and visualize contractual data, enabling more efficient compliance checks, risk assessments, and contract lifecycle management. Organizations use contract knowledge graphs to gain better insights, automate contract analysis, and improve decision-making processes.

What are the key skills and qualifications needed to thrive as a contract knowledge graph specialist?

To excel as a Contract Knowledge Graph Specialist, you need expertise in semantic data modeling, contract analysis, and a background in computer science or information management. Familiarity with tools like Neo4j, RDF, SPARQL, and experience with natural language processing (NLP) solutions are typically required. Strong analytical thinking, attention to detail, and effective communication skills help translate complex contract terms into structured, actionable data. These competencies ensure accurate, scalable contract data representation, enabling better compliance, searchability, and automation for organizations.

How does a contract knowledge graph specialist typically collaborate with legal and IT teams during implementation projects?

A Contract Knowledge Graph specialist often works closely with legal teams to understand contract structures, key clauses, and compliance requirements, ensuring that the graph accurately represents legal relationships and obligations. Simultaneously, they partner with IT and data teams to integrate data sources, design the graph schema, and implement technical solutions. Effective collaboration requires clear communication, regular meetings, and the ability to translate legal concepts into technical requirements, which helps ensure the knowledge graph delivers actionable insights for both legal and business stakeholders.

What is the difference between Contract Knowledge Graph vs Contract Analyst?

AspectContract Knowledge GraphContract Analyst
Required CredentialsTypically a background in data science, knowledge graphs, or related fieldsUsually a degree in law, business, or finance
Work EnvironmentData-driven, often in tech or AI-focused teamsLegal, finance, or corporate departments
Employer & Industry UsageTech companies, AI firms, legal techCorporations, law firms, government agencies
Common Search & Comparison IntentUnderstanding data modeling and AI applications in contractsAnalyzing contract terms and compliance

The Contract Knowledge Graph focuses on creating structured, interconnected data models for contracts using AI and data science skills. In contrast, a Contract Analyst primarily reviews, interprets, and manages contract data within legal or business contexts. While both roles deal with contracts, the Knowledge Graph role emphasizes data structuring and AI, whereas the Analyst role centers on contract review and analysis.

What are the most commonly searched types of Knowledge Graph jobs in Virginia?

The most popular types of Knowledge Graph jobs in Virginia are:

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

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

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

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

What cities in Virginia are hiring for Contract Knowledge Graph jobs?

Cities in Virginia with the most Contract Knowledge Graph job openings:

Contract Knowledge Graph jobs near you
Infographic showing various Contract Knowledge Graph job openings in Virginia as of August 2026, with employment types broken down into 25% Full Time, 25% Part Time, and 50% Contract. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution.

Graph Database Engineer

Cornerstone Defense

Chantilly, VA • On-site

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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