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Sparql Semantic Jobs (NOW HIRING)

... 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 ...

Mastery of semantic web standards, including RDF, OWL, and SHACL, and proficiency in SPARQL for context-aware graph reasoning. • Policy-as-Code Compliance: Production-grade deployment experience ...

Senior AI Engineer

Chicago, IL

$126K - $166K/yr

In this role, you will design and implement agent‑driven pipelines that leverage RDF/OWL ontologies, SPARQL, and Large Language Models (LLMs) to perform semantic alignment, dimension mining, and ...

Ontologist - Sr

Doral, FL · On-site

$117K - $154K/yr

Candidates should have demonstrated expertise in ontology design, semantic data modeling, and SPARQL query development, with proficiency in W3C standards (RDF, OWL, SHACL) and supporting frameworks ...

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Sparql Semantic information

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$120.5K

$162.4K

$187.5K

How much do sparql semantic jobs pay per year?

As of Jul 24, 2026, the average yearly pay for sparql semantic in the United States is $162,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,000.00 and $176,000.00 per year, depending on experience, location, and employer.

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 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 SPARQL Semantic jobs?

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.
More about Sparql Semantic jobs
What cities are hiring for Sparql Semantic jobs? Cities with the most Sparql Semantic job openings:
What states have the most Sparql Semantic jobs? States with the most job openings for Sparql Semantic jobs include:
What job categories do people searching Sparql Semantic jobs look for? The top searched job categories for Sparql Semantic jobs are:
Infographic showing various Sparql Semantic job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $162,359 per year, or $78.1 per hour.
Lead Ontologist - OBIQUA

Lead Ontologist - OBIQUA

CELESTAR

Reston, VA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 15 days ago


Job description

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). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
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:
This opportunity supports DIA's Object Based Intelligence and Quality Assurance (OBIQUA) initiative focused on advancing intelligence analysis through Agile program management, AI assurance, analytic innovation, and ontology development.
• The Lead Ontologist is responsible for the development of domain-specific ontologies.
• This position leads the application of 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 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 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
Come on board with a company that Values its Employees!
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.