Palantir Data Engineer
Summary
Palantir Foundry Data Engineer building scalable data pipelines, Ontology models, Workshop apps, and Quiver dashboards using Python, PySpark, and SQL.
Total Experience: 5+ years
Relevant Experience: 3+ years
Work Mode: WFH
About the Role
We are looking for a Palantir Foundry Data Engineer with 3+ years of hands-on experience to build scalable data solutions, pipelines, and applications on the Foundry platform. The role involves working across Ontology, data engineering, analytics, and application development to deliver business-focused solutions. Experience in the Healthcare domain is an added advantage.
Key Requirements
- 3+ years of Palantir Foundry experience.
- Strong knowledge of Ontology, Pipeline Builder, Code Repositories, Workshop, Quiver, and Data Connections.
- Proficiency in Python, PySpark, and SQL.
- Experience in data pipelines, ETL/ELT, transformations, and data quality.
- Experience integrating Foundry with cloud platforms, APIs, and databases.
- Knowledge of React/TypeScript for Foundry applications is preferred.
- Healthcare domain experience with Palantir is an added advantage.
- Strong analytical and stakeholder communication skills.
Responsibilities
- Develop and maintain Palantir Foundry data solutions and applications.
- Build scalable pipelines using Pipeline Builder, Python/PySpark, and SQL.
- Design and maintain Foundry Ontology models.
- Develop Workshop applications, Quiver dashboards, and custom widgets.
- Integrate Foundry with enterprise systems, APIs, databases, and cloud platforms.
- Implement data quality, lineage, governance, and performance optimization.
- Translate business requirements into scalable Foundry solutions.
- Troubleshoot and optimize Foundry pipelines and applications.