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Contract Ontology Engineer Jobs (NOW HIRING)

Tiger Analytics Inc.

Ontology Architect

We are looking for an Ontology Architect to lead high-impact applied Engineering and analytics ... Establish best practices, version control mechanisms, and data contracts for semantic models ...

SOSi

Senior Ontology Expert/Project Manager

Doral, FL · On-site

This position is contingent upon contract award** SOSi is seeking a Senior Ontology Expert/Project ... D.) in Systems Engineering, Project Management, Computer Science, Information Technology, Business ...

SOSi

Senior Ontology Expert/Project Manager

Doral, FL

This position is contingent upon contract award** SOSi is seeking a Senior Ontology Expert/Project ... D.) in Systems Engineering, Project Management, Computer Science, Information Technology, Business ...

SOSi

Senior Ontology Expert/Project Manager

Doral, FL · On-site

This position is contingent upon contract award** SOSi is seeking a Senior Ontology Expert/Project ... D.) in Systems Engineering, Project Management, Computer Science, Information Technology, Business ...

IT America Inc

Palantir Foundry Engineer

Nashville, TN · On-site

Palantir Foundry Engineer Location: Nashville, TN Duration: 6 Months Role Summary: Hands-on Foundry ... Ontology coverage for priority domains with versioned contracts and lineage. Example Work You'll ...

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Contract Ontology Engineer information

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$36.5K

$107.3K

$137.5K

How much do contract ontology engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for contract ontology engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Contract Ontology Engineer vs Data Scientist?

AspectContract Ontology EngineerData Scientist
Required credentialsKnowledge of ontology modeling, semantic web standards, and related certificationsDegree in data science, statistics, or related fields; certifications like CAP or DASCA
Work environmentTypically in AI, semantic web, or knowledge management projects within tech or research firmsData analysis, machine learning, and statistical modeling in various industries
Employer and industry usageUsed in organizations focusing on knowledge graphs, AI, and semantic data integrationCommon across tech, finance, healthcare, and marketing sectors

The Contract Ontology Engineer specializes in developing and managing ontologies and semantic data models, often within AI and knowledge management projects. In contrast, Data Scientists focus on analyzing data, building predictive models, and deriving insights from data sets. While both roles require technical expertise, their core functions and industry applications differ significantly.

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Contract Ontology Engineer jobs near you
Infographic showing various Contract Ontology Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Ontology Architect

Tiger Analytics Inc.

Remote

Full-time

Re-posted 4 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for an Ontology Architect to lead high-impact applied Engineering and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.
Responsibilities:
    • Ontology & Taxonomy Design: Lead the creation, modeling, and evolution of enterprise-wide ontologies, taxonomies, and controlled vocabularies that accurately represent complex business domains.
    • Knowledge Graph Architecture: Design and implement scalable architecture, ingestion pipelines, and governance for enterprise Knowledge Graphs (Triple Stores or Property Graphs).
    • Semantic Layer Strategy: Build and maintain the enterprise semantic layer to abstract physical data complexities, providing a unified, machine-readable business view of data.
    • Data Product Augmentation: Partner with domain data teams to map, link, and augment decentralized Data Products using the central ontology to ensure semantic interoperability across the organization.
    • Inference & Reasoning: Implement semantic reasoning and inference rules to automatically generate new metadata and uncover hidden insights within the graph.
    • Governance & Standards: Establish best practices, version control mechanisms, and data contracts for semantic models, ensuring consistent graph schema updates across business units.

Requirements
  • Semantic Standards: Expert-level mastery of core semantic technologies
  • Knowledge Graph Engineering: Hands-on experience designing and operating production-grade Graph Databases / Triple Stores (e.g., GraphDB, Stardog, Amazon Neptune, AllegroGraph, or Neo4j).
  • Ontology Modeling Tools: Proficiency with industry-standard ontology engineering and taxonomy management software (e.g., Protégé, TopBraid Composer, PoolParty).
  • Modern Data Frameworks: Clear, practical understanding of Data Mesh paradigms, specifically how to design a semantic layer that overlays federated, domain-driven Data Products.
  • Traditional Data Modeling: Strong baseline in classic data concepts, including relational databases, dimensional modeling, and ETL/ELT integration patterns.
Preferred Skills
  • Data Quality & Validation: Hands-on experience to enforce data quality and constraint validation across graph structures.
  • Advanced AI & Graph Analytics: Familiarity with graph algorithms, graph machine learning (GNNs), or leveraging Knowledge Graphs to enhance Large Language Model architectures via Graph RAG (Retrieval-Aug Generation).

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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