Description

Key Skills: Palantir, Pyspark, Python, Data Engineer, Ontology, SQL, Data modeling

Roles and Responsibilities:

• Develop and maintain data pipelines using Python and PySpark within Palantir Foundry
• Design and implement ontology models that support business and operational use cases
• Build enterprise data connections and integrate source systems into Foundry
• Deliver Workshop applications and related data products for internal users
• Apply data modeling and data quality practices across curated datasets and pipelines

Skills Required:

• 5 to 8 years of relevant experience in data engineering or platform engineering
• Hands-on experience with Palantir Foundry, Python, and PySpark
• Strong understanding of ontology design and implementation in Foundry
• Experience with enterprise data integration, code repositories, and pipeline development
• Ability to build reliable data models and maintain high-quality data assets

Good to Have:

• SQL, AIP functions, AIP Agent Studio, Quiver, Slate, OSDK React applications, custom widgets, data governance, and security

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

Key Skills

Education

Any Graduate