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The Palantir Foundry Engineer role requires a strong background in data engineering, particularly with Palantir Foundry, Python, and Spark. The candidate will be responsible for building data pipelines, ensuring data quality, and collaborating with teams. A BS/MS in Computer Science or Engineering is required, along with 3+ years of experience in data engineering.
Job Responsibility:
Build and maintain Foundry Code Repositories, Transforms, and Datasets
Design and implement scalable data ingestion pipelines and batch/stream workflows
Create and maintain schema definitions, data lineage, and provenance
Implement data quality checks, monitoring, and alerting for production pipelines
Configure and enforce dataset access controls and security policies within Foundry
Optimize performance of transforms (Spark/Python/SQL) and dataset materialization
Collaborate with cross-functional teams to translate business requirements into Foundry data models and applications
Document patterns, best practices, and contribute to internal Foundry governance
Requirements:
3+ years of experience in data engineering
1+ year in Palantir Foundry strongly preferred
3+ years of experience of Strong proficiency in Python and Spark (PySpark) and/or SQL
3+ years of Experience with data modeling, ETL/ELT patterns, data lineage, and versioning