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How much do ontology data modeling jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for ontology data modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is ontology data modeling?

Ontology data modeling is the process of creating formal representations of knowledge within a specific domain by defining concepts, relationships, and categories. It involves building structured frameworks (ontologies) that enable computers and systems to interpret, share, and reason with data more effectively. This approach is commonly used in fields like artificial intelligence, semantic web, and information management to ensure data consistency and interoperability across different systems.

What are the key skills and qualifications needed to thrive as an ontology data modeler?

To thrive as an Ontology Data Modeler, you need a strong background in data modeling, semantic technologies, and knowledge representation, typically supported by a degree in computer science, information science, or a related field. Familiarity with tools and languages such as OWL, RDF, SPARQL, and ontology editors like Protégé is essential, along with experience in data integration systems. Attention to detail, analytical thinking, and effective communication are key soft skills for collaborating with stakeholders and translating complex domain knowledge into structured models. These competencies ensure accurate, scalable, and meaningful data architectures that support advanced analytics and interoperability across systems.

What are some common challenges faced when collaborating with cross-functional teams as an ontology data modeler?

As an Ontology Data Modeler, a key challenge is bridging the gap between technical and non-technical stakeholders. You’ll often work closely with engineers, data scientists, and subject matter experts to ensure the ontology accurately reflects business requirements and domain semantics. Effective communication is crucial to translate complex data relationships into models that are both machine-readable and business-aligned. Additionally, aligning different teams on terminology and data standards can be time-consuming but is essential for project success.
Infographic showing various Ontology Data Modeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Senior Palantir Foundry Engineer

Downers Grove, IL

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

$104K - $143K/yr

Full-time

Posted 4 days ago

Job description

We are seeking a Senior Product Engineer with strong expertise in Palantir Foundry, Ontology, data engineering, and AI-driven product development. The role involves building scalable data products, AI-enabled applications, and enterprise analytics solutions using Palantir Foundry.

Responsibilities
  • Design and develop end-to-end data products using Palantir Foundry.
  • Build and maintain Ontology objects, relationships, and semantic models.
  • Develop scalable data pipelines and AI-powered applications.
  • Perform data analysis and develop dimensional data models.
  • Collaborate with business and technical stakeholders to translate requirements into solutions.
  • Develop, test, optimize, and maintain Foundry-based data products and workflows.
  • Lead technical discussions and contribute to Agile development processes.
Required Skills
  • Palantir Foundry
  • Palantir Ontology
  • Palantir Data Engineering
  • Python
  • Data Analysis
  • Dimensional Data Modeling
  • AI / Data Product Development
Preferred
  • ETL / Data Warehouse Testing
  • Experience with enterprise analytics and AI solutions
  • Strong problem-solving and communication skills

Apply