Senior Palantir Foundry Engineer - Data Pipelines & Ontology
New
W
WorkanaHealthcare
Remote role within the United States, with occasional onsite travel for key workshops in the Chicago or Houston area.ContractSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of hands-on Palantir Foundry experience
- Required Skills
- PythonSQLData modelingPySpark
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-industry data.
- Willingness to travel occasionally for key onsite workshops in the Chicago or Houston area.
- Palantir AIP experience.
- Prior experience with ontology acceleration projects, including auto-discovery or rapid ontology population.
- Healthcare industry experience.
- Experience working in regulated environments.
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.
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