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Sparql Semantic Jobs (NOW HIRING)

VeeRteq Solutions Inc.

Semantic Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Role: Semantic Data Modeler Experience: - Minimum 8+ Years Location: - Chicago, IL (3 days/Week ... Practical experience with RDF, OWL, SPARQL, and ideally SHACL. * Experience with relational ...

PSRTEK

Senior Semantic Web Engineer (Hybrid)

Chicago, IL · On-site

$126K - $166K/yr

Position:- Senior Semantic Web Engineer Location:- Chicago, IL (Hybrid) Contract WHAT YOU'LL DO ... Practical experience with RDF, OWL, SPARQL, and ideally SHACL. * Experience with relational ...

VeeRteq Solutions Inc.

Semantic Web Engineer

Irving, TX · Remote

Senior Semantic Web Engineer Location: Remote USA Experience:Minimum 5+ Years We are seeking a ... Strong understanding of RDF, OWL, SPARQL, and SHACL. Experience with relational databases and graph ...

Programmers.io

Ontology Business Consultant

Tampa, FL · On-site

Ontologist, Ontology Engineer, Semantic Data Modeler, Knowledge Graph Engineer, Semantic Modeler Lead, Ontology Consultant. * Tech stack: RDF, OWL, SHACL, SPARQL, Stardog (or GraphDB, Blazegraph ...

Neshent Technologies

Data Modeler

Urbandale, IA · On-site

$51.75 - $67.25/hr

Semantic Data Modeling * Knowledge Graph Architecture * Insurance Data Architecture * ACORD Standards * RDF / OWL / SPARQL * Graph Databases (Neo4j, Stardog, Amazon Neptune) * Data Governance ...

Neshent Technologies

Data Modeler

Windsor Heights, IA · On-site

$53.50 - $69.50/hr

Semantic Data Modeling * Knowledge Graph Architecture * Insurance Data Architecture * ACORD Standards * RDF / OWL / SPARQL * Graph Databases (Neo4j, Stardog, Amazon Neptune) * Data Governance ...

Neshent Technologies

Data Modeler

Clive, IA · On-site

$53.75 - $69.50/hr

Semantic Data Modeling * Knowledge Graph Architecture * Insurance Data Architecture * ACORD Standards * RDF / OWL / SPARQL * Graph Databases (Neo4j, Stardog, Amazon Neptune) * Data Governance ...

Neshent Technologies

Data Modeler

Waukee, IA · On-site

$52.50 - $68/hr

Semantic Data Modeling * Knowledge Graph Architecture * Insurance Data Architecture * ACORD Standards * RDF / OWL / SPARQL * Graph Databases (Neo4j, Stardog, Amazon Neptune) * Data Governance ...

Neshent Technologies

Data Modeler

West Des Moines, IA · On-site

$53.75 - $69.75/hr

Semantic Data Modeling * Knowledge Graph Architecture * Insurance Data Architecture * ACORD Standards * RDF / OWL / SPARQL * Graph Databases (Neo4j, Stardog, Amazon Neptune) * Data Governance ...

Noblis

Data Architect IV with Security Clearance

Chantilly, VA · On-site

$66 - $84.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Designs knowledge graphs, ontologies, and data lineage pipelines using W3C semantic web standards (RDF, OWL, SPARQL) to feed continuously evolving context to LLMs, ensuring semantic richness and ...

Maxar

Ontology Engineer (TS/SCI)

Herndon, VA · On-site

  • Retirement

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

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All JobsSparql Semantic Jobs

Sparql Semantic information

See salary details

$120.5K

$162.4K

$187.5K

How much do sparql semantic jobs pay per year?

As of Aug 14, 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 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.
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?

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Sparql Semantic jobs near you
Infographic showing various Sparql Semantic job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $162,359 per year, or $78.1 per hour.

Semantic Data Modeler

VeeRteq Solutions Inc.

Chicago, IL • On-site

$56.50 - $73.25/hr

Contractor

Posted 20 days ago

Job description

Role: Semantic Data Modeler

Experience: - Minimum 8+ Years

Location: - Chicago, IL (3 days/Week)

 

Semantic Data Modeler is responsible for designing, developing, and managing semantic data models, ontologies, taxonomies, and knowledge graph solutions to support healthcare data intelligence using graph databases, AI, and cloud platforms.

Responsibilities: -

  • Serve as a subject matter expert in semantic data modeling on the graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph technologies.
  • Collaborate with senior engineers and architects to standardize tooling, design patterns, semantic models, and modeling approaches.
  • Help define the technical direction for core semantic modeling capabilities, ensuring scalable and robust solutions.
  • Independently research, evaluate, and propose innovative solutions to complex and ambiguous data modeling challenges.
  • Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms.
  • Write, test, and document clean, maintainable code, and apply automation to testing, integration, and deployment processes.
  • Partner with product owners to refine features into actionable user stories that deliver business value.
  • Evaluate and recommend external taxonomies and ontologies; author new ones as needed to support the domain.
  • Recommend and implement semantic modeling tools, platforms, and technologies.
  • Support ontology governance processes and enterprise graph management tools.
  • Collaborate with stakeholders, including data scientists, engineers, and business teams, to understand requirements and build effective semantic solutions.
  • Provide technical mentorship to junior team members on semantic data modeling principles and implementation patterns.

Educational Qualifications: -

  • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

 

Skills: -

Mandatory skills

  • Min 8+ years of hands-on experience in semantic data modeling or knowledge graph engineering, including leading complex projects.
  • Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB.
  • Practical experience with RDF, OWL, SPARQL, and ideally SHACL.
  • Experience with relational databases (SQL) and graph databases (SPARQL).
  • Hands-on experience with ontology/graph tools such as Protégé, TopBraid, or Metaphactory.
  • Solid understanding of data modeling, ETL processes, and data governance.
  • Experience evaluating, creating, and managing taxonomies and ontologies.

 

Good to Have Skills

  • AWS Amazon Neptune.
  • Metaphactory.
  • Familiarity with other languages (e.g., Java, C#, Clojure).
  • Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.
  • Exposure to AI, LLMs, and advanced graph technologies.
  • Experience supporting ontology governance and enterprise graph management platforms.

VeeRteq Solutions is an Equal Opportunity Employer