Description

Design, build, and maintain scalable data pipelines and applications on the Palantir Foundry platform.

This role is on-site.

Responsibilities

• Develop and optimize data pipelines using Python, PySpark, Spark SQL, and SQL.
• Build and configure applications using Palantir Foundry components including Workshop, Slate, and Quiver.
• Manage data integration workflows, ontology models, and pipeline configurations within Foundry.
• Collaborate with stakeholders and data engineers to translate business requirements into technical solutions.
• Perform debugging, testing, monitoring, and production support while adhering to coding standards and security guidelines.

Required Skills

• 4+ years of experience as a Palantir Developer or Data Engineer on the Palantir platform.
• Hands-on experience with Palantir Foundry: Pipeline Builder, Code Repositories, Ontology, and Data Lineage.
• Strong programming proficiency in Python, PySpark, Spark SQL, SQL, and TypeScript.
• Experience developing ETL/ELT pipelines and data integration solutions.
• Understanding of Data Modeling, Data Warehousing, and distributed data processing.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with Workshop, Slate, and Quiver application development.
• Familiarity with Agile/Scrum methodologies and Git/CI/CD practices.
• Palantir Foundry certification.

Key Skills

Education

Bachelor's degree