Workana

healthcare

SeniorPalantirFoundryEngineer-DataPipelines&Ontology

Chicago, Illinois, United States; Houston, Texas, United States; United States CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Palantir Foundry Engineer - Data Pipelines & Ontology at Workana. Skills: Palantir Foundry, Data Pipelines, Ontology. Build, optimize, and maintain data pipelines into Palantir Foundry. Integrate multiple healthcare data sources, including clinical, claims, supply chain, and other enterprise datasets”

Industry & Context.

healthcare
Eligibility Requirements

Must be based in the United States, Willingness to travel occasionally for key onsite workshops in the Chicago or Houston area

What They're Looking For.

Must Have

4+ years of hands-on Palantir Foundry experience, experience with Palantir Foundry Pipeline Builder, Code Repositories, and data integration, Python, PySpark, and SQL skills, Experience building and optimizing data pipelines in complex enterprise data environments, Hands-on experience with ontology architecture, ontology modeling, data mapping, and ontology design patterns, data modeling skills, Experience working with complex healthcare, clinical, claims, supply chain, or regulated-industry data, Must be based in the United States, Willingness to travel occasionally for key onsite workshops in the Chicago or Houston area

Nice to Have

Palantir AIP experience, Prior experience with ontology acceleration projects, including auto-discovery or rapid ontology population, Healthcare industry experience, Experience working in regulated environments

What You'll Do.

and maintain data pipelines into Palantir Foundry

Integrate multiple healthcare data sources

and other enterprise datasets

Support rapid data onboarding to accelerate ontology development and population

and refine ontology objects

and data mappings in Palantir Foundry

Collaborate with business and technical stakeholders to translate requirements into scalable data and ontology structures

Support ontology governance

Work across Pipeline Builder

data integration workflows

and Foundry-based modeling efforts

Contribute to a fast-moving implementation environment where rapid iteration and practical delivery are required

How You'll Work.

Team & Collaboration

Collaborate with business and technical stakeholders

Full Job Description

We are looking for experienced Palantir Foundry Engineers to support a large-scale healthcare data implementation. This is a full-time, dedicated,**long-term remote role for engineers based in the United States** , with occasional onsite travel for key workshops in the Chicago or Houston area. The project involves accelerating a Palantir Foundry implementation across complex healthcare data environments, including clinical, claims, supply chain, and other enterprise data sources. The engineers will help build data pipelines, support rapid data onboarding, and contribute to ontology design and modeling within Foundry. ### **Responsibilities** * Build, optimize, and maintain data pipelines into Palantir Foundry. * Integrate multiple healthcare data sources, including clinical, claims, supply chain, and other enterprise datasets. * Support rapid data onboarding to accelerate ontology development and population. * Design, build, and refine ontology objects, properties, relationships, and data mappings in Palantir Foundry. * Collaborate with business and technical stakeholders to translate requirements into scalable data and ontology structures. * Support ontology governance, versioning, and best practices. * Work across Pipeline Builder, Code Repositories, data integration workflows, and Foundry-based modeling efforts. * Contribute to a fast-moving implementation environment where rapid iteration and practical delivery are required. **Requirements** * 4+ years of hands-on Palantir Foundry experience. * Strong experience with Palantir Foundry Pipeline Builder, Code Repositories, and data integration. * Strong Python, PySpark, and SQL skills. * Experience building and optimizing data pipelines in complex enterprise data environments. * Hands-on experience with ontology architecture, ontology modeling, data mapping, and ontology design patterns. * Strong data modeling skills. * Experience working with complex healthcare, clinical, claims, supply chain, or regulated-industr

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