ZipRecruiter

Log In

1

Sparql Semantic Jobs (NOW HIRING)

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

SOSi

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.

The Talent Mine

Ontology Engineer

Dallas, TX

Strong proficiency in OWL, RDF, RDFS, SPARQL, and related W3C semantic web standards. * Hands-on experience with ontology development tools such as Protégé, TopBraid Composer, or similar.

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

JET Systems

Be Seen First

DATA SCIENTIST - KNOWLEDGE GRAPHS & AI

Lexington Park, MD · On-site

$120K - $165K/yr

Ability to query structured and semi-structured data using SQL, SPARQL, or comparable technologies. * Ability to contribute to ontology, taxonomy, semantic model, or enterprise data-model development.

SOSi

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.

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning. * Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context ...

next page

Showing results 1-20

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 Jul 3, 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:
Sparql Semantic jobs near you
Infographic showing various Sparql Semantic job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 69% Physical, 8% Hybrid, and 23% Remote job distribution, with an average salary of $162,359 per year, or $78.1 per hour.
Data Architect - Active Metadata

Data Architect - Active Metadata

Software Technology Inc

Remote

$65.25 - $84/hr

Other

Posted 10 days ago

Job description

Data Architect

Location: Menlo Park, CA (Remote)

Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a "nervous system" where metadata is active, governance is computational, and data sharing is zero-copy.

Mandatory Skills:

  • Active Metadata: 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.
  • Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context-aware access control.

Other Technical Skills:

  • Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.
  • Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress.
  • Compute: Trino (GraalVM), StarRocks, DuckDB (WASM).
  • Orchestration: Dagster, Airflow (Provider-level).
  • Semantic Layer: Stardog, Apache Jena, GraphQL Federation.
  • System Languages: Rust, Clojure, or Java.

Apply