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Semantic Web Jobs (NOW HIRING)

Associated Bank - Corp

Knowledge Engineer

Chicago, IL · On-site

Enable advanced data discovery and analytics by applying semantic web standards, graph technologies, and knowledge modeling practices. * Support AI-ready data capabilities by designing semantic ...

Squirro

Knowledge Graph Engineer

New York, NY

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 ...

Squirro

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 ...

Squirro

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 ...

Squirro

Knowledge Graph Engineer

New York, NY · On-site

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 ...

TEKsystems

Remote Ontologist

San Francisco, CA · Remote

$65/hr

Utilize semantic web standards and technologies, including OWL , RDF , and related tools, to create and maintain scalable ontology solutions. * Support Data Integration: Integrate ontologies with ...

IT America Inc

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Strong knowledge of OWL/RDF, ontology design, and semantic web standards. * Proven hands-on experience with Gremlin, Cypher, Neo4j, and other graph query languages. * Expertise in Azure Cosmos DB ...

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How much do semantic web jobs pay per hour?

As of Jul 14, 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 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.

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.

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 July 2026, with employment types broken down into 3% As Needed, 85% Full Time, 6% Part Time, 3% Contract, and 3% Nights. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $122,736 per year, or $59 per hour.
Ontology Engineer-Knowledge Graph & Identity

Ontology Engineer-Knowledge Graph & Identity

Samba

San Francisco, CA • On-site

Full-time

Re-posted 6 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant.
As an Ontology Engineer on Samba TV's Knowledge Graph & Identity team, you will build, maintain, and extend the knowledge graph schemas, derivation pipelines, and graph data models that underpin Samba's measurement and audience intelligence products. Working closely with the Senior Ontologist and peer data scientists, you will implement ontological frameworks in production, contribute to entity resolution and data enrichment pipelines, and help ensure the graph layer remains accurate, consistent, and production-ready.
This is a hands-on technical role. You are expected to write clean, production-quality Python and SPARQL, take ownership of well-scoped graph work streams, and grow your depth in semantic modeling under the guidance of senior team members.
This role reports to the Data Science Manager, Knowledge Graph & Identity.
What You'll Do:
Ontology Implementation & Validation
  • Implement and extend Samba's RDF/RDFS/OWL ontology schemas in the graph database - adding entity classes, properties, and constraints in a consistent, governed way under the direction of the Senior Ontologist
  • Build and maintain SHACL validation shapes for post-load graph consistency checks; identify and triage data quality and schema violations
  • Support ontology versioning, change log documentation, and consistency checking across schema updates
  • Write efficient, well-structured SPARQL queries and graph traversals to support downstream data science and product use cases
Event-to-Ontology Derivation Pipelines
  • Contribute to the event-to-ontology transformation and derivation layer - building PySpark/Databricks pipelines that aggregate raw TV viewership and web activity events into durable graph attributes (genre affinity, brand affinity, topic affinity, viewing summaries, lifecycle signals)
  • Implement derivation logic specified by the Senior Ontologist and data science team; validate outputs against SHACL shapes before graph load
  • Support incremental refresh and update logic aligned with the graph's batch refresh cadence
Technical Contribution
  • Write production-quality Python - clean, well-tested, documented, and reusable by teammates
  • Work with PySpark and Databricks to process and transform high-volume data as part of graph pipeline development
  • Apply embedding-based approaches (semantic similarity, vector search) to entity matching and ontology alignment tasks
  • Contribute to team tooling, documentation, and reusable components that improve knowledge graph development efficiency
Collaboration & Growth
  • Partner closely with data engineering on pipeline design, data quality, and incremental ingestion patterns feeding the materialized graph substrate
  • Participate in ontology design reviews and cross-functional working groups
  • Work with product and operations teams to understand use case requirements and translate them into graph schema updates
  • Actively develop expertise in W3C semantic web standards, RDF-native graph databases, and entity resolution under the guidance of the Senior Ontologist

Who You Are:
Must-Haves
  • 2-4 years of hands-on experience in knowledge graph development, semantic data modeling, ontology engineering, or a closely related field
  • Working knowledge of W3C semantic web standards: RDF, RDFS, OWL, and SPARQL - with practical experience querying or building in at least one triplestore or graph database
  • Familiarity with SHACL or equivalent constraint and validation frameworks for graph data quality
  • Strong Python skills - clean, readable, production-quality code with testing and documentation
  • Solid understanding of data modeling fundamentals - entity-relationship design, taxonomies, hierarchies, and how to represent complex real-world relationships in structured form
  • Familiarity with entity resolution or data matching concepts - understanding of why the same real-world entity appears under different identifiers across data sources
  • Bachelor's degree required in Computer Science, Information Science, Mathematics, or a related field; Master's preferred
  • Detail-oriented and proactive about flagging data quality issues and schema inconsistencies
Strongly Preferred
  • Hands-on experience with Amazon Neptune or Stardog - or equivalent RDF-native triplestore; exposure to data virtualization (Neptune Orion or Stardog Virtual Graphs) a plus
  • Working knowledge of PySpark and Databricks - particularly for large-scale event aggregation and transformation pipelines
  • Familiarity with embedding models, vector search, or semantic similarity - applied to entity matching, ontology alignment, or knowledge graph enrichment
  • Experience with LLM APIs or RAG-based approaches applied to information extraction, entity disambiguation, or schema mapping
  • Domain knowledge in media, entertainment, or ad tech - content metadata, advertising entities, TV viewership data, or audience/identity data
  • Exposure to identity resolution, probabilistic record linkage, or device graph approaches

$150,000 - $180,000 a year
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy For residents of the EU , Samba Inc. is the data controller.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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