Palantir Data Engineer

Job Description:

Palantir Data Engineer

We are seeking a highly skilled

Palantir Data Engineer

to design, develop, and maintain scalable data solutions using Palantir Foundry and associated technologies. The ideal candidate will have hands-on experience in

data modeling, pipeline building, and analytics enablement

across large-scale enterprise environments.

Key Responsibilities:

Develop, deploy, and optimize data pipelines and workflows within

Palantir Foundry

using

Pipeline Builder

and

AIP . Collaborate with cross-functional teams to design data solutions supporting analytical and operational needs. Utilize

Python, PySpark, and TypeScript

to process, transform, and analyze large datasets. Write efficient

SQL queries

for data extraction, transformation, and validation. Manage version control and deployment processes using

Git . Work with

Apache Spark

and

Hadoop

ecosystems for distributed data processing and optimization. Ensure data quality, governance, and performance tuning across the entire data lifecycle. Required Skills & Experience:

Strong expertise in

Palantir Foundry

and

big data frameworks (Spark, Hadoop) . Proficiency in

Python, PySpark, TypeScript, and SQL . Hands-on experience with

data integration, transformation, and orchestration . Excellent analytical, debugging, and problem-solving abilities.