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Semantic Web Jobs (NOW HIRING)

Air

Knowledge Engineer

Pittsburgh, PA · On-site

Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL) * Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models ...

Govini

Knowledge Engineer

Pittsburgh, PA · On-site

Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL) * Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models ...

Phenom People Pvt Ltd

Associate Data Engineer

Ambler, PA · Hybrid

$70K - $90K/yr

Exposure to graph databases or semantic web concepts would be an asset(s). Salary * Expected salary range $70,000 - $90,000 Please note the Salary range is subject to change in the future in ...

GS1 US

Global Standards Manager

Ewing, NJ

$90K - $110K/yr

You have experience working with APIs, web architectures, and data formats such as JSON or JSON-LD and understand how semantic data models support scalable, machine-readable systems. You bring ...

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How much do semantic web jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for semantic web in the United States is $59.01, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.83 per hour, depending on experience, location, and employer.

What is Semantic Web?

The Semantic Web is an extension of the current web that enables data to be shared and reused across applications through standardized formats like RDF and OWL. Professionals working in this field develop ontologies, linked data, and semantic technologies to improve data integration and machine understanding. Skills in web development, data modeling, and knowledge of semantic standards are essential for roles in this area.

What are the typical daily responsibilities of a Semantic Web professional?

A Semantic Web professional typically spends their day designing semantic data models, developing ontologies, and implementing standards like RDF and OWL to structure and link complex information. You may work closely with data scientists, software engineers, and subject matter experts to ensure data interoperability and support knowledge-driven applications. Tasks often include writing SPARQL queries, integrating heterogeneous data sources, and collaborating on system architecture or solution design. This role frequently involves staying updated with the latest Semantic Web standards and tools, ensuring that data solutions are robust, scalable, and aligned with organizational needs.

How much do Semantic Web engineers make?

Semantic Web engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and specific skills such as ontology development and knowledge graph management. Senior roles or those with expertise in related technologies like RDF, OWL, and SPARQL can command higher salaries.

What is a Semantic Web job?

A Semantic Web job involves working with technologies that enhance data interoperability and meaning on the web. Professionals in this field use standards like RDF, OWL, and SPARQL to structure and link data, making it machine-readable and semantically rich. Roles may include developing knowledge graphs, ontologies, and linked data applications to improve search, AI, and data integration. These jobs are common in industries like AI, research, and enterprise data management.

Is RDF still used?

Yes, RDF (Resource Description Framework) remains a fundamental technology in the Semantic Web for representing and exchanging structured data. It is widely used in data integration, knowledge graphs, and linked data applications, often alongside tools like SPARQL for querying. RDF's standards are maintained by the W3C and continue to be relevant in semantic data modeling roles.

Which IT field is most in demand?

The IT field most in demand currently includes roles related to data science, cybersecurity, cloud computing, and software development. Skills in machine learning, cloud platforms like AWS or Azure, and programming languages such as Python are highly sought after by employers.

What are the key skills and qualifications needed to thrive in the Semantic Web position, and why are they important?

To thrive in a Semantic Web role, you need a strong background in computer science, expertise in data modeling, ontologies, and RDF/OWL, often supported by a relevant degree. Familiarity with semantic technologies such as SPARQL, Protégé, and graph databases, as well as certifications in linked data or Semantic Web technologies, is highly beneficial. Strong analytical thinking, problem-solving skills, and the ability to work effectively in interdisciplinary teams are standout soft skills. These abilities are crucial for designing, implementing, and maintaining systems that enable smarter data integration and retrieval across complex datasets.

More about Semantic Web jobs
What cities are hiring for Semantic Web jobs? Cities with the most Semantic Web job openings:
What are the most commonly searched types of Semantic Web jobs? The most popular types of Semantic Web jobs are:
What states have the most Semantic Web jobs? States with the most job openings for Semantic Web jobs include:
What job categories do people searching Semantic Web jobs look for? The top searched job categories for Semantic Web jobs are:
Semantic Web jobs near you
Infographic showing various Semantic Web job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 23% Full Time, 55% Part Time, 19% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.
Knowledge Engineer

Knowledge Engineer

Air

Pittsburgh, PA • On-site

Full-time

Posted yesterday

Job description

Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description

We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you'll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini's Ark platform.

This role requires systematic analytical thinking, strong communication skills, and a passion for combining theoretical rigor with practical implementation. The ideal candidate brings hands-on experience in taxonomy and ontology development, along with the ability to guide teams in adopting semantic technologies.

This role is a full-time position located out of our office in Pittsburgh, PA.

This role may require up to 10% travel

Scope of Responsibilities
  • Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains
  • Map unstructured data to structured semantic models that integrate with Ark's data infrastructure
  • Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams
  • Partner with product and domain experts to translate business requirements into semantic solutions
  • Document semantic models and provide guidance to support team adoption and effective use
  • Help drive organization-wide understanding and adoption of semantic technologies and best practices.
  • Track adoption and measure impact, continuously refining models, tools, and practices
Qualifications
  • U.S. Citizenship is required
Required Skills:
  • Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field
  • 3+ years of experience developing ontologies, taxonomies, or knowledge graphs
  • Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores)
  • Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL)
  • Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models
Desired Skills:
  • Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies
  • Active U.S. security clearance or ability to obtain one
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Master's degree in Data Science, Computer Science, Information Systems, or a related field
  • Familiarity with defense acquisition data and processes
  • Experience with data modeling, schema design, or metadata management
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.