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Owl Rdf Jobs (NOW HIRING)

Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen. Position Overview : We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and ...

Java- Ontology

Princeton, NJ · On-site

$54.25 - $74.50/hr

Princeton, NJ(5 Days Onsite) Position Type: Full Time Must Have Skills: * RDF (Resource Description Framework) * OWL (Web Ontology Language) * SHACL (Shapes constraints language) * SPARQL

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

This role involves designing, building, and optimizing a knowledge graph solution using Amazon Neptune, RDF/OWL ontologies, and SPARQL for Aeronautics and RMS use cases in a non-production ...

Data Architect - Active Metadata

$65.25 - $84/hr

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.

... RDF, OWL, SPARQL) and government data standards to enable semantic representation of data inputs, facilitating integration and interoperability across intelligence systems. • Design, develop, and ...

Be Seen First

Understanding of ontology and knowledge representation concepts, including OWL, RDF, taxonomies, semantic data, and linked data principles. * Understanding of knowledge graph design, entity and ...

Experience with building querying ontologies such as Zeno, OWL, RDF, SparQL or comparable are preferred * Knowledge & experience with microservices, service mesh, API development and test automation ...

AI-Ready Knowledge Architect

Brooklyn, OH · On-site

$59.75 - $77/hr

Knowledge Graphs Neo4j Stardog Amazon Neptune / Azure Cosmos DB (Graph) Ontology & Semantic Modeling OWL / RDF / SKOS Protege TopBraid Stardog Studio Enterprise Data & Knowledge Catalogs Alation ...

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Owl Rdf information

See salary details

$23K

$47.8K

$79K

How much do owl rdf jobs pay per year?

As of Jul 6, 2026, the average yearly pay for owl rdf in the United States is $47,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $54,500.00 per year, depending on experience, location, and employer.

What are OWL RDF experts?

OWL RDF experts are professionals skilled in using the Web Ontology Language (OWL) alongside the Resource Description Framework (RDF) to model, structure, and query complex data relationships. They typically work in fields like semantic web development, data integration, and knowledge management, creating ontologies that enable machines to understand and process information more effectively. Their expertise helps organizations structure data for interoperability, reasoning, and advanced analytics, particularly in areas such as healthcare, research, and enterprise data systems.

What are the key skills and qualifications needed to thrive as an OWL/RDF Developer, and why are they important?

To thrive as an OWL/RDF Developer, you need a strong background in semantic web technologies, ontology modeling, and data modeling, often supported by a degree in computer science or a related field. Familiarity with tools and languages such as Protégé, SPARQL, RDF, OWL, and reasoners like Pellet or Hermit is typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for accurately modeling complex domains and collaborating with stakeholders. These skills and qualifications are vital for building robust, interoperable knowledge representation systems that power data integration and intelligent applications.

What are some common challenges faced by professionals working with OWL and RDF in semantic web projects?

Professionals working with OWL (Web Ontology Language) and RDF (Resource Description Framework) often encounter challenges related to ensuring data consistency across complex ontologies and integrating diverse data sources. Navigating the steep learning curve of ontology modeling and understanding reasoning engines can also be demanding. Additionally, collaboration with domain experts is crucial to accurately represent real-world concepts, and keeping up with evolving standards and best practices in semantic technologies is important for long-term project success.

What is the difference between Owl Rdf vs RDF Data Model?

AspectOwl RdfRDF Data Model
PurposeExtends RDF for complex ontologies and reasoningBasic framework for representing data as triples
ComplexitySupports rich semantics and constraintsSimpler, focuses on data structure
Use CasesSemantic web, ontology modelingData interchange, basic metadata
CertificationsRequires understanding of RDF, OWL standardsBasic knowledge of RDF syntax

Owl Rdf builds upon the RDF Data Model to enable complex semantic reasoning and ontology development, making it suitable for advanced web applications. In contrast, RDF Data Model provides the foundational structure for data representation without the added complexity of reasoning capabilities.

More about Owl Rdf jobs
Infographic showing various Owl Rdf job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 7% Temporary, 7% Contract, and 7% Nights. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $47,768 per year, or $23 per hour.
Platform Architect/Consultant with Security Clearance

Platform Architect/Consultant with Security Clearance

NewGen Technologies

Tampa, FL • On-site

Contractor

Posted 3 days ago


Job description

Platform Architect/Consultant Tampa/Orlando, FL This role is an early opportunity, expecting to allow remote work up to 100%.  Serve as a resident architect and technical delivery consultant for an AWS Neptune Ontology Platform engagement. This role involves designing, building, and optimizing a knowledge graph solution using Amazon Neptune, RDF/OWL ontologies, and SPARQL for Aeronautics and RMS use cases in a non-production environment. The consultant will collaborate closely with customer data engineering teams, integrate Generative AI capabilities, and provide hands-on training to enable long-term self-sufficiency.

Responsibilities Ontology development and refinement for Aeronautics and RMS use cases Design and implement federated query mechanisms across materialized ontologies in Amazon Neptune and virtual knowledge graphs (Ontop) Develop SPARQL queries to address specific competency questions across multiple business domains Configure Neptune instances with appropriate security models in non-production environments Design and deploy data security models and deployment architectures Integrate Generative AI capabilities with ontology structures for query and reasoning Implement iterative ontology refinement based on domain SME feedback Conduct hands-on training sessions on RDF, SPARQL, and Neptune capabilities Define ontology maintenance and change control processes Provide regular status reports and collaborate with engagement management Create production deployment guides and architecture documentation Co-develop solutions with customer data engineering teams Requirements US Citizenship Secret Clearance Experience in data engineering, knowledge representation, or graph databases Deep expertise in Amazon Neptune (or equivalent graph database platforms) Strong proficiency in RDF, OWL, SPARQL, and semantic web technologies Experience designing and implementing enterprise ontologies Hands-on experience with federated query architectures Knowledge of Industrial Ontologies Foundry (IOF) or similar ontology standards Experience with data security model design and IAM configurations in AWS Proven ability to design scalable deployment architectures on AWS Strong communication skills for stakeholder engagement and knowledge transfer Experience working in regulated or defense industry environments Technical Skills Amazon Neptune (configuration, deployment, optimization) RDF/OWL ontology engineering SPARQL query development and optimization Federated query design (Neptune + Ontop) AWS security (IAM, VPC, security groups) Generative AI integration patterns Graph database design patterns Soft Skills Technical leadership and mentoring Customer-facing communication and presentation Knowledge transfer and training delivery Cross-functional collaboration Problem-solving in ambiguous technical domains Stakeholder management across multiple business units Desired Skills Experience with Ontop or similar virtual knowledge graph tools Familiarity with Supply Chain Reference Ontology (SCRO) standards Experience integrating Generative AI with knowledge graphs or ontology systems AWS certifications (Solutions Architect Professional, Database Specialty) Experience with manufacturing or supply chain ontology use cases Prior experience delivering AWS Professional Services engagements Familiarity with aerospace/defense industry data governance requirements About Us For more than 20 years, NewGen Technologies has solved our clients’ toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ Apply Now More Openings * Data Engineer Herndon, VA Share This Job