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Ontology Remote Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Software Engineer

Remote Duration: 6+ Months Required Skills * 8-10+ years of experience in backend development using ... Experience working on Knowledge Graph or semantic systems, including ontology-driven design and ...

Concordance Healthcare Solutions

$160K - $200K/yr

... position is fully remote. This position will be responsible for understanding processes ... Ontology and semantic data models. * Foundry applications and user-facing workflows. * Work across ...

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Ontology Remote information

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$77K

$112.7K

$122K

How much do ontology remote jobs pay per year?

As of Jun 7, 2026, the average yearly pay for ontology remote in the United States is $112,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $121,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Ontology Remote, and why are they important?

To thrive as an Ontology Remote Specialist, you need a solid background in data modeling, knowledge representation, and semantic technologies, often supported by a degree in computer science, information science, or a related field. Familiarity with tools and standards like OWL, RDF, SPARQL, and ontology development platforms such as Protégé is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate remotely and translate complex concepts for diverse teams. These skills are vital to ensure precise data integration, interoperability, and successful remote teamwork in knowledge-driven organizations.

How does working remotely as an Ontology Specialist impact collaboration and communication with team members?

As a remote Ontology Specialist, you will frequently collaborate with cross-functional teams, such as data engineers, software developers, and subject matter experts, often using digital communication tools like Slack, Zoom, and project management platforms. Clear and proactive communication is essential, as you may work across different time zones and need to document your work thoroughly to ensure alignment. Regular check-ins, virtual meetings, and shared documentation help maintain effective teamwork and ensure that ontology models are developed and integrated smoothly. Adapting to asynchronous communication and being responsive to feedback are common challenges, but they also foster independence and strong organizational skills.

What are ontology remote jobs?

Ontology remote jobs involve working with the design, development, and management of ontologies—structured frameworks for organizing information—while operating from a location outside of a traditional office setting. Professionals in these roles may create data models, standardize vocabularies, and ensure data consistency across systems, often supporting projects in fields like knowledge management, artificial intelligence, healthcare, or libraries. Remote ontology specialists typically collaborate with teams through digital communication tools and may work for tech companies, research organizations, or consulting firms. These positions require strong analytical skills and a background in information science, computer science, or related areas.

What is the difference between Ontology Remote vs Data Analyst?

AspectOntology RemoteData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of ontology modelingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with cross-disciplinary teamsRemote or on-site, working with data sets and reporting tools
Industry UsageUsed in AI, semantic web, and knowledge management projectsUsed across finance, healthcare, marketing, and more for data insights

Ontology Remote professionals focus on developing and managing ontologies for AI and knowledge systems, requiring specialized understanding of semantic structures. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles may work remotely and require analytical skills, Ontology Remote emphasizes semantic modeling, whereas Data Analysts focus on data interpretation and reporting.

More about Ontology Remote jobs
What cities are hiring for Ontology Remote jobs? Cities with the most Ontology Remote job openings:
What are the most commonly searched types of Ontology jobs? The most popular types of Ontology jobs are:
What states have the most Ontology Remote jobs? States with the most job openings for Ontology Remote jobs include:
What job categories do people searching Ontology Remote jobs look for? The top searched job categories for Ontology Remote jobs are:
Ontology Remote jobs near you
Infographic showing various Ontology Remote job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,707 per year, or $54.2 per hour.

Mid-Level Data Platform Engineer (Python) - Palantir Foundry / with Security Clearance

Potawatomi Federal Solutions, LLC.

Washington, DC • Remote

$129K - $155K/yr

Other

Posted 22 days ago

Job description

Position Title: Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support Location: National Capital Region (Remote Eligible) Job Type: Full Time Level: Mid-Level Analyst Clearance: Secret Job Summary The Mid-Level Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupiter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications.

Key Responsibilities Data Pipeline Development: * Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupiter platform. * Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. * Implement transformation logic to prepare raw datasets for curated data layers and ontology population.

Data Platform Operations: * Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. * Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. * Maintain dataset lineage awareness and support platform data integrity practices.

Data Integration and Support: * Assist with integrating enterprise system data into the platform environment. * Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. * Document pipelines and transformation logic to support maintainability of the platform.

Qualifications Education: * Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience. Experience: * 4-7 years experience in data engineering or platform engineering roles. * Experience developing Python-based data pipelines * Experience building ETL/ELT pipelines and data transformation workflows * Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments * Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: * Strong Python development skills for data processing and pipeline development * Experience with SQL and data transformation frameworks * Familiarity with distributed data platforms and large-scale data environments * Strong troubleshooting and problem-solving skills in data pipeline operations * Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Career Level Alignment: * Mid-Level Engineer: 4-7 years supporting data platform engineering, pipeline development, and enterprise data integration initiatives.

#ClearanceJobs Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.

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