Preferred Qualifications
* Experience delivering end-to-end data engineering projects
* Experience working with large-scale enterprise datasets
* Strong communication and stakeholder management skills
Required Skills
* 2+ years of hands-on experience with Palantir Foundry
* 2+ years of experience working with Palantir AIP
* Strong experience with TypeScript
* Strong experience in Python and PySpark
* Strong ETL and Data Engineering background
* Experience building, developing, and maintaining data pipelines
* Experience with data ingestion, transformation, validation, and optimization
* Ability to independently troubleshoot and resolve data pipeline issues
* Strong analytical and problem-solving skills
Key Responsibilities
* Design, develop, and maintain scalable data pipelines using Palantir Foundry
* Build and optimize ETL processes for data ingestion and transformation
* Develop and support data engineering solutions using Python and PySpark
* Utilize TypeScript for Foundry-based applications and workflow development
* Work with Palantir AIP to support AI-enabled and operational workflows
* Collaborate with business users and technical teams to gather requirements and deliver solutions
* Ensure data quality, integrity, and performance across data pipelines
* Troubleshoot and resolve production issues related to data processing and integrations
* Independently handle design, development, testing, deployment, and support activities
Hiring: Palantir Foundry Data Engineer
Location: Atlanta, GA or New York City, NY (Onsite )
Employment Type: W2 Only (No C2C)
Visa: Open to All Work-Authorized Candidates
Role Overview
We are seeking a highly skilled Palantir Foundry Data Engineer with hands-on experience in Palantir Foundry, AIP, TypeScript, Python, PySpark, and ETL/Data Engineering. The ideal candidate should have experience building and supporting scalable data solutions within the Palantir ecosystem and be comfortable working directly with business and technical stakeholders.