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Sparql Semantic Jobs in Virginia (NOW HIRING)

Kinsley Power Systems

Lead Ontologist - OBIQUA

Reston, VA · On-site

$100 - $130/hr

Lead the application of semantic web standards (RDF, OWL, SPARQL) and government data standards to enable semantic representation of data inputs, facilitating integration and interoperability across ...

New

Vantor

Ontology Engineer (TS/SCI)

Herndon, VA · On-site

Leveraging Semantic Web standards, including RDF, OWL, and SPARQL, the Lead Ontologist develops scalable knowledge frameworks that enhance data discoverability, support AI/ML applications, and ...

CELESTAR

Lead Ontologist - OBIQUA

Reston, VA · On-site

... semantic web standards (e.g., RDF, OWL, SPARQL) and government data standards to enable semantic representation of data inputs, facilitating integration and interoperability across intelligence ...

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Sparql Semantic information

What is a sparql semantic job?

SPARQL Semantic jobs involve working with SPARQL, the query language used to retrieve and manipulate data stored in Resource Description Framework (RDF) format within semantic web technologies. Professionals in these roles design, write, and optimize SPARQL queries to extract meaningful insights from linked data and knowledge graphs. They often collaborate with data scientists, knowledge engineers, and software developers to implement semantic data solutions in areas like data integration, artificial intelligence, and enterprise knowledge management.

What are the common challenges faced by professionals working with SPARQL and semantic web technologies?

Professionals in SPARQL and semantic web roles often encounter challenges such as integrating heterogeneous data sources, ensuring data quality and consistency, and optimizing complex queries for performance. Working with RDF data models requires a solid understanding of ontologies and linked data principles, which can be a learning curve for those new to semantic technologies. Collaboration with data architects, domain experts, and software engineers is essential, as projects typically involve cross-functional teams to model, curate, and extract meaningful insights from large and diverse datasets.

What are the key skills and qualifications needed to thrive as a sparql semantic developer, and why are they important?

To thrive as a SPARQL Semantic Developer, you need expertise in semantic web technologies, RDF data modeling, and strong proficiency in SPARQL query language, often supported by a background in computer science or information science. Familiarity with tools like Apache Jena, Virtuoso, and ontology editors such as Protégé, as well as knowledge of related standards like OWL and SHACL, is typically required. Critical thinking, attention to detail, and effective problem-solving are vital soft skills for designing scalable data solutions and collaborating with cross-functional teams. These skills are crucial for building robust semantic applications that enable meaningful data integration, discovery, and analysis across diverse systems.

What is the difference between Sparql Semantic vs Data Analyst?

AspectSparql SemanticData Analyst
Required CredentialsKnowledge of SPARQL, semantic web technologies, RDF, ontologiesDegree in statistics, data science, or related field; proficiency in SQL and data visualization tools
Work EnvironmentSemantic web projects, knowledge graphs, linked data environmentsBusiness intelligence, data reporting, analytics teams
Employer & Industry UsageResearch institutions, semantic web companies, data integration projectsCorporations, marketing firms, finance, healthcare
Common Search & ComparisonUnderstanding semantic data queryingAnalyzing and interpreting data for decision-making

While Sparql Semantic specialists focus on querying and managing semantic web data using SPARQL, Data Analysts interpret and analyze data to support business decisions. Both roles require data literacy but differ in technical skills and work environments.

What are popular job titles related to Sparql Semantic jobs in Virginia?

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

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

The top searched job categories for Sparql Semantic jobs in Virginia are:

What cities in Virginia are hiring for Sparql Semantic jobs?

Cities in Virginia with the most Sparql Semantic job openings:

Sparql Semantic jobs near you

Lead Ontologist - OBIQUA

Kinsley Power Systems

Reston, VA • On-site

$100 - $130/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Lead Ontologist

Celestar Corporation is seeking a Lead Ontologist to support the Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR).

Anticipated Award: October 2026

Anticipated Start: October 2026

Period of Performance: 1 Base Year + 4 Option Years

Location: DIA Facilities across the National Capital Region (NCR)

Clearance Requirement: Active TS/SCI with a Current CI Poly (adjudicated within the last 5 years)

About Us: Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.

Responsibilities
  • Develop domain‑specific ontologies for DIA's OBIQUA initiative.
  • Lead the application of semantic web standards (RDF, OWL, SPARQL) and government data standards to enable semantic representation of data inputs, facilitating integration and interoperability across intelligence systems.
  • Design, develop, and maintain domain‑specific ontologies supporting intelligence and data integration initiatives.
  • Apply semantic web technologies and standards, including RDF, OWL, SPARQL, and related ontology engineering methodologies.
  • Develop semantic data models and knowledge representation frameworks to support interoperability across intelligence systems.
  • Collaborate with data architects, AI engineers, analysts, and government stakeholders to ensure alignment with mission requirements.
  • Support data integration, discovery, and knowledge management efforts through ontology‑driven solutions.
  • Provide technical leadership and guidance on ontology development, semantic technologies, and emerging industry best practices.
Required Qualifications
  • Demonstrated senior‑level expertise in developing and implementing ontologies for complex data systems.
  • Experience with semantic web technologies and standards including RDF, OWL, SPARQL, SHACL, or related ontology engineering tools.
  • Desired Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
  • Desired Education: Master’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master’s degree.

Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race, color, religion, genetic information, national origin, sex (including same-sex), sexual orientation, gender identity, pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

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