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Palantir Foundry Engineer

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NTT DATA

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Location:
United States , Jacksonville

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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
  • Practical knowledge of Foundry concepts: Datasets, Transforms, Code Repositories, Ontologies (basic exposure)
  • 3+ years of experience Familiarity with DevOps practices, CI/CD, and Git-style workflows
  • Strong troubleshooting and performance tuning skills
  • BS/MS in Computer Science, Engineering, or related field, or equivalent experience
  • Excellent communication and collaboration skills

Nice to have:

  • 2+ years of production Foundry experience (designing transforms, ontology usage)
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Familiarity with containerization, orchestration (Kubernetes), and infrastructure as code
  • Experience with data governance, cataloging, and policy enforcement
  • Experience with streaming frameworks (Kafka, Kinesis) and real-time transforms

Additional Information:

Job Posted:
January 26, 2026

Work Type:
Remote work
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