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Knowledge Graph Jobs in Virginia (NOW HIRING)

Senior Database Engineer

Herndon, VA · On-site

$109K - $148K/yr

... and knowledge graph platforms. The Sneior Database Engineer serves as the technical authority for the design, implementation, optimization, and administration of relational, graph, and semantic ...

... knowledge graph platforms. The Database Engineer serves as the technical authority for the design, implementation, optimization, and administration of relational, graph, and semantic database ...

Full Stack Developer

Arlington, VA · On-site

$160K - $190K/yr

Support the integration of the knowledge graph database and enterprise analytics tools, AI reasoning chains, and mission data. * Develop scalable microservices and containerized applications.

Full Stack Developer

Arlington, VA · On-site

$160K - $190K/yr

Support the integration of the knowledge graph database and enterprise analytics tools, AI reasoning chains, and mission data. * Develop scalable microservices and containerized applications.

New

Full Stack Developer

Arlington, VA · On-site

$160K - $190K/yr

Support the integration of the knowledge graph database and enterprise analytics tools, AI reasoning chains, and mission data. * Develop scalable microservices and containerized applications.

Data Architect IV with Security Clearance

Chantilly, VA · On-site

$66 - $84.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Deep expertise in W3C semantic web standards (RDF, OWL, SPARQL), knowledge graph design, ontology engineering, and data lineage pipeline development, with proven ability to build graph-based semantic ...

Data Architect IV

Chantilly, VA · On-site

$65.25 - $84/hr

  • Medical

  • Life

  • Retirement

  • PTO

Deep expertise in W3C semantic web standards (RDF, OWL, SPARQL), knowledge graph design, ontology engineering, and data lineage pipeline development, with proven ability to build graph-based semantic ...

Data Architect IV

Chantilly, VA · On-site

$65.25 - $84/hr

  • Medical

  • Life

  • Retirement

  • PTO

Deep expertise in W3C semantic web standards (RDF, OWL, SPARQL), knowledge graph design, ontology engineering, and data lineage pipeline development, with proven ability to build graph-based semantic ...

Applied AI Scientist

Arlington, VA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Applied AI Scientist

Ashburn, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Applied AI Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Willingness and ability to develop new skills, especially ontology and knowledge graph development Preferred Skills and Experience: * Knowledge of best practices and approaches for search analytics

Showing results 21-40

Knowledge Graph information

What are the key skills and qualifications needed to thrive in the knowledge graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

What is a knowledge graph?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What are some typical daily responsibilities of a knowledge graph engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

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 Knowledge Graph jobs in Virginia?

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

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

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

Infographic showing various Knowledge Graph job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Database Engineer (TS/SCI) with Security Clearance

Vantor

Herndon, VA • On-site

Other

Retirement

Posted 15 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a Database Engineer to join our team. In this position you will design, develop, implement, and maintain the database infrastructure supporting Object-Based Intelligence (OBI) mission requirements, enterprise ontologies, and knowledge graph platforms. The Database Engineer serves as the technical authority for the design, implementation, optimization, and administration of relational, graph, and semantic database technologies that enable ontology-driven data integration and knowledge management. This position develops scalable data architectures that support Semantic Web technologies, knowledge graphs, and AI/ML-enabled analytics while ensuring high availability, security, performance, and data integrity across enterprise object-management systems. Working closely with ontology engineers, software developers, data architects, and Government stakeholders, the Database Engineer enables efficient storage, retrieval, and management of structured and unstructured data supporting mission operations. Responsibilities: * Design, implement, administer, and optimize relational, graph, and semantic database environments supporting Object-Based Intelligence mission requirements.
* Develop logical and physical data models that support ontologies, taxonomies, knowledge graphs, and enterprise metadata management.
* Design and implement scalable database architectures that support Semantic Web technologies, including RDF triple stores, graph databases, and SPARQL query endpoints.
* Develop and maintain Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes that integrate heterogeneous data sources into enterprise knowledge management platforms.
* Collaborate with ontology engineers, software developers, data scientists, analysts, and Government stakeholders to translate mission requirements into efficient database designs and data integration solutions.
* Optimize database performance through indexing strategies, query optimization, partitioning, replication, and capacity planning to support large-scale analytics and semantic reasoning workloads.
* Implement database security controls, encryption, access management, backup and recovery procedures, and auditing capabilities in accordance with Government cybersecurity requirements.
* Develop database automation, monitoring, and maintenance processes to ensure high availability, reliability, and operational efficiency.
* Support AI/ML initiatives by providing scalable data infrastructure and optimized access to structured, semi-structured, and semantic data repositories.
* Produce and maintain technical documentation, database standards, data dictionaries, configuration management artifacts, and operational procedures.
* Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding database architecture, administration, and data management best practices. Minimum Qualifications: * Must be a U.S. citizen and have an active TS/SCI with CI polygraph.
* 12 years of experience and an advanced degree or 17 years of experience with a bachelor's degree.
* Demonstrated experience designing, implementing, and administering enterprise database solutions supporting mission-critical applications.
* Experience with relational database management systems (e.g., PostgreSQL, Oracle, Microsoft SQL Server) and graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, or equivalent).
* Experience designing and optimizing databases supporting Semantic Web technologies, RDF data stores, or knowledge graph platforms.
* Experience developing ETL/ELT processes and integrating structured, semi-structured, and unstructured data from multiple enterprise sources.
* Knowledge of database performance tuning, indexing, backup and recovery, replication, security, and high-availability architectures.
* Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders. Preferred Qualifications: * Experience supporting enterprise ontology or knowledge graph initiatives within Government or Intelligence Community environments.
* Experience implementing RDF triple stores, SPARQL endpoints, and semantic data integration frameworks.
* Familiarity with AI/ML data pipelines and the use of semantic data architectures to support advanced analytics and decision support.
* Experience with cloud-based database platforms and containerized deployment environments, including Kubernetes and OpenShift.
* Experience automating database deployment, configuration management, and monitoring using Infrastructure as Code (IaC) tools.
* Certified Data Management Professional (CDMP), Oracle Certified Professional (OCP), Microsoft Certified: Azure Database Administrator Associate, AWS Database Specialty, or equivalent database certification.
* Experience providing technical leadership, mentoring, and formal knowledge transfer to Government personnel or large multidisciplinary teams. #cjpost #LI-CJ1 #LI-Onsite Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. • The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.