... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
Ontologist
$117K - $140K/yr
OR a minimum of 11+ years of experience in ontology development, semantic technologies. * Possess the knowledge and capability to develop ontologies: * Proficiency in writing advanced SPARQL queries.
Ontologist
$117K - $140K/yr
OR a minimum of 11+ years of experience in ontology development, semantic technologies. * Possess the knowledge and capability to develop ontologies: * Proficiency in writing advanced SPARQL queries.
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
Experience in developing semantic models using SHACL or RDFS/OWL/SPARQL to address customer requirements * Experience with GraphQL * Track record of building and mentoring a team Working at ...
Experience in developing semantic models using SHACL or RDFS/OWL/SPARQL to address customer requirements * Experience with GraphQL * Track record of building and mentoring a team Working at ...
Expertise in semantic technologies including Resource Description Framework, Web Ontology Language, and Shapes Constraint Language. * Strong query development using SPARQL. * Experience building ...
Expertise in semantic technologies including Resource Description Framework, Web Ontology Language, and Shapes Constraint Language. * Strong query development using SPARQL. * Experience building ...
Data Architect
Menlo Park, CA · Remote
$75.25 - $96.75/hr
Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair) - Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning ...
Data Architect
Menlo Park, CA · Remote
$75.25 - $96.75/hr
Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair) - Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
... semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. • Establish processes for ...
Data Architect - Active Metadata
Menlo Park, CA · Remote
$90 - $95/hr
Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair). - Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning ...
Quick apply
Data Architect - Active Metadata
Menlo Park, CA · Remote
$90 - $95/hr
Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair). - Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning ...
Senior Data and AI Engineer (Insurance Domain)
Philadelphia, PA · On-site
$115K - $138K/yr
... chat, SPARQL trace explainability, and graph explorer. Knowledge Graph & Semantic Technologies (Must-Have) • 3+ years hands-on experience with graph databases (GraphDB, Neo4j, Stardog)in a ...
Quick apply
Senior Data and AI Engineer (Insurance Domain)
Philadelphia, PA · On-site
$115K - $138K/yr
... chat, SPARQL trace explainability, and graph explorer. Knowledge Graph & Semantic Technologies (Must-Have) • 3+ years hands-on experience with graph databases (GraphDB, Neo4j, Stardog)in a ...
Data Architect with Knowledge Graph exp
Irving, TX · Hybrid
$61.25 - $78.75/hr
Familiarity with RDF, OWL, SPARQL, and other semantic web standards is a plus. * Excellent problem-solving, communication, and project management skills. * Ability to translate business requirements ...
Data Architect with Knowledge Graph exp
Irving, TX · Hybrid
$61.25 - $78.75/hr
Familiarity with RDF, OWL, SPARQL, and other semantic web standards is a plus. * Excellent problem-solving, communication, and project management skills. * Ability to translate business requirements ...
Senior Data consultant (Data Modelling & Insurance Domain)
Philadelphia, PA · On-site
$67.75 - $90.75/hr
... semantic model using OWL 2 / RDF standards. Insurance Domain Expertise (Must-Have) • 10 years of ... of SPARQL for querying and validating graph data Data Governance & Lineage (Preferred) • ...
Quick apply
Senior Data consultant (Data Modelling & Insurance Domain)
Philadelphia, PA · On-site
$67.75 - $90.75/hr
... semantic model using OWL 2 / RDF standards. Insurance Domain Expertise (Must-Have) • 10 years of ... of SPARQL for querying and validating graph data Data Governance & Lineage (Preferred) • ...
Ontologist
$133K - $170K/yr
Demonstrated expertise in ontology design, semantic data modeling, and SPARQL query development. * Proficiency in W3C standards including RDF, OWL, SHACL and supporting frameworks like Basic Formal ...
Ontologist
$133K - $170K/yr
Demonstrated expertise in ontology design, semantic data modeling, and SPARQL query development. * Proficiency in W3C standards including RDF, OWL, SHACL and supporting frameworks like Basic Formal ...
Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies * Experience designing and implementing enterprise ontologies * Hands-on experience with federated query architectures
Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies * Experience designing and implementing enterprise ontologies * Hands-on experience with federated query architectures
Principal Ontology Engineer [$295K + Full Benefits] with Security Clearance
Saint Louis, MO · On-site
Lead the creation of Knowledge Graphs and semantic models that allow disparate organizations to speak the same language, enabling true data interoperability. * Engineer Trust: Use SHACL and SPARQL to ...
Principal Ontology Engineer [$295K + Full Benefits] with Security Clearance
Saint Louis, MO · On-site
Lead the creation of Knowledge Graphs and semantic models that allow disparate organizations to speak the same language, enabling true data interoperability. * Engineer Trust: Use SHACL and SPARQL to ...
Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. * Establish processes for ...
Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. * Establish processes for ...
Knowledge Graphs Semantic Stack Proficiency in RDF OWL SPARQL SHACL and experience with knowledge graph databases Neptune Stardog Graph DB Thanks Ramesh ramesh.u(at)msrcosmos(dot)com
Quick apply
Knowledge Graphs Semantic Stack Proficiency in RDF OWL SPARQL SHACL and experience with knowledge graph databases Neptune Stardog Graph DB Thanks Ramesh ramesh.u(at)msrcosmos(dot)com
Knowledge Graph Engineer
New York, NY · Remote
In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) * Familiarity with graph databases, particularly RDF graph databases * Familiarity with Large Language Models (LLMs) and ...
Quick apply
Knowledge Graph Engineer
New York, NY · Remote
In-depth knowledge of semantic web standards (RDF, SKOS, OWL, SPARQL) * Familiarity with graph databases, particularly RDF graph databases * Familiarity with Large Language Models (LLMs) and ...
Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. * Establish processes for ...
Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards. * Establish processes for ...
Sparql Semantic information
See salary details
$120.5K - $126.6K
10% of jobs
$126.6K - $132.7K
2% of jobs
$132.7K - $138.8K
3% of jobs
$138.8K - $144.9K
4% of jobs
$144.9K - $151K
5% of jobs
$151.5K is the 25th percentile. Wages below this are outliers.
$151K - $157K
6% of jobs
$157K - $163.1K
11% of jobs
The median wage is $166.6K / yr.
$163.1K - $169.2K
15% of jobs
$174.8K is the 75th percentile. Wages above this are outliers.
$169.2K - $175.3K
20% of jobs
$175.3K - $181.4K
14% of jobs
$181.4K - $187.5K
10% of jobs
$120.5K
$162.4K
$187.5K
How much do sparql semantic jobs pay per year?
As of Jun 9, 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?
| Aspect | Sparql Semantic | Data Analyst |
|---|---|---|
| Required Credentials | Knowledge of SPARQL, semantic web technologies, RDF, ontologies | Degree in statistics, data science, or related field; proficiency in SQL and data visualization tools |
| Work Environment | Semantic web projects, knowledge graphs, linked data environments | Business intelligence, data reporting, analytics teams |
| Employer & Industry Usage | Research institutions, semantic web companies, data integration projects | Corporations, marketing firms, finance, healthcare |
| Common Search & Comparison | Understanding semantic data querying | Analyzing 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:
Full-time
Posted 23 days ago
Job description
Job Summary:
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. They are seeking multiple Analytic Methodologists to support the development of analytic strategies for mission-driven intelligence questions, focusing on predictive analytics and structured methodologies across various national security domains.
Responsibilities:
• Deconstruct complex and ambiguous intelligence questions to recommend structured analytic methodologies tailored to mission requirements.
• Evaluate and adapt existing analytic models, algorithms, and frameworks to improve objectivity, completeness, and predictive value of intelligence production.
• Design, develop, and maintain domain-specific ontologies to enable semantic representation of data inputs, facilitating integration of data sources and interoperability with internal and external OMSs.
• Design, develop, and maintain knowledge graphs leveraging domain-specific ontologies to support advance data querying, data visualization, and integration of intelligence function via OBI standards.
• Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards.
• Establish processes for ontology version control, change management, stakeholder and governance review to ensure accuracy, consistency, and compliance with IC and DoD policies and standards.
• Collaborate with team members to enhance semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g., GraphQL, SPARQL, SHACL, SQL).
• Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph capabilities.
• Collaborate with team members to evaluate effectiveness of exploratory efforts to automate ontology and associated component generation leveraging qualitative and quantitative metrics.
• Support capability development by contributing, editing, and storing ontologies and knowledge models in Government owned/controlled source version control repositories.
Qualifications:
Required:
• Must be a US citizen and have an active TS/SCI with CI poly.
• 12 years of experience and an advanced degree
• Experience with structured analytic methods and designing repeatable analytic processes.
• Familiarity with semantic technologies and ontology development tools (e.g., Protégé).
• Excellent oral and written communication skills with an ability to tailor to technical and non-technical audiences.
• Possesses knowledge and experience of advanced analytics and data storage.
• Knowledge of various data science applications and architectures. Experience with Python.
Preferred:
• Ability to synthesize abstract concepts into actionable intelligence products.
• Experience applying predictive analytics to strategic intelligence problems across multiple domains.
• Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experienced in applying statistical and data visualization skills.
• Strong problem-solving skills to manipulate data and draw insights from large structured and unstructured data sets.
• Proven ability to learn and master new software, technologies and techniques.
• Experience in two or more of the following: Machine Learning, Natural Language Processing, Large Language Models, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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. They are seeking multiple Analytic Methodologists to support the development of analytic strategies for mission-driven intelligence questions, focusing on predictive analytics and structured methodologies across various national security domains.
Responsibilities:
• Deconstruct complex and ambiguous intelligence questions to recommend structured analytic methodologies tailored to mission requirements.
• Evaluate and adapt existing analytic models, algorithms, and frameworks to improve objectivity, completeness, and predictive value of intelligence production.
• Design, develop, and maintain domain-specific ontologies to enable semantic representation of data inputs, facilitating integration of data sources and interoperability with internal and external OMSs.
• Design, develop, and maintain knowledge graphs leveraging domain-specific ontologies to support advance data querying, data visualization, and integration of intelligence function via OBI standards.
• Apply semantic web standards (e.g., RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabularies in accordance with industry and government data standards.
• Establish processes for ontology version control, change management, stakeholder and governance review to ensure accuracy, consistency, and compliance with IC and DoD policies and standards.
• Collaborate with team members to enhance semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g., GraphQL, SPARQL, SHACL, SQL).
• Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph capabilities.
• Collaborate with team members to evaluate effectiveness of exploratory efforts to automate ontology and associated component generation leveraging qualitative and quantitative metrics.
• Support capability development by contributing, editing, and storing ontologies and knowledge models in Government owned/controlled source version control repositories.
Qualifications:
Required:
• Must be a US citizen and have an active TS/SCI with CI poly.
• 12 years of experience and an advanced degree
• Experience with structured analytic methods and designing repeatable analytic processes.
• Familiarity with semantic technologies and ontology development tools (e.g., Protégé).
• Excellent oral and written communication skills with an ability to tailor to technical and non-technical audiences.
• Possesses knowledge and experience of advanced analytics and data storage.
• Knowledge of various data science applications and architectures. Experience with Python.
Preferred:
• Ability to synthesize abstract concepts into actionable intelligence products.
• Experience applying predictive analytics to strategic intelligence problems across multiple domains.
• Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experienced in applying statistical and data visualization skills.
• Strong problem-solving skills to manipulate data and draw insights from large structured and unstructured data sets.
• Proven ability to learn and master new software, technologies and techniques.
• Experience in two or more of the following: Machine Learning, Natural Language Processing, Large Language Models, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.