Role Overview

We are seeking an experienced Palantir Foundry Data Engineer with strong expertise in Palantir Foundry, Python, PySpark, and Data Engineering. The ideal candidate will design, develop, and optimize scalable data pipelines, build data products within Foundry, and support end-to-end data integration and transformation initiatives.

Responsibilities

Develop and maintain data pipelines within Palantir Foundry.
Design and implement Foundry Ontology, data models, and modular applications.
Build end-to-end data integration solutions using Palantir Foundry.
Develop scalable ETL pipelines using Python and PySpark.
Process, cleanse, and transform large structured and unstructured datasets.
Create reusable and modular code components for data engineering workflows.
Optimize Spark jobs and data processing performance.
Integrate multiple source systems into Palantir Foundry.
Collaborate with business stakeholders and data consumers to understand requirements.
Support data quality, governance, and operational monitoring activities.
Perform troubleshooting and performance tuning of data pipelines.

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field.
6-8 years of Data Engineering experience.
Minimum 2-3 years of hands-on Palantir Foundry experience.
Strong expertise in Python and PySpark.
Experience building scalable enterprise data solutions.