Palantir Platform Engineer – AI-Driven ETL Pipelines
B4Corp
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Benefits offered by this job
Job summary
B4Corp is seeking a Palantir Platform Engineer in Herndon, VA, to integrate ETL workflows within the Palantir ecosystem and enhance data conditioning and observability. The candidate will work with PySpark and Python to build scalable data pipelines while ensuring data quality and governance across all transformation stages.
Responsibilities include leveraging AI to optimize pipelines, coordinating with DevOps for platform deployment, and integrating validated products into analytics tools for
Qualifications
- Experience with Palantir Foundry and ontology modelling is required.
- Strong ability to design and implement robust ETL pipelines.
- Proficiency with PySpark and Python for large-scale data processing.
- Experience with logging, monitoring, and data governance best practices.
- Familiarity with DevOps practices and deploying data platforms.
- Ability to leverage AI to optimize data pipelines and improve performance.
Responsibilities
- Integrate custom ETL workflows within the Palantir ecosystem and connect ETL conditioners to Palantir tooling to improve observability.
- Design and implement scalable data pipelines for large datasets.
- Ensure data quality, governance, and validation across transformations.
- Collaborate with cross-functional teams to deliver actionable data insights and support advanced analytics tools.
Skills
Tools
Job description
B4Corp is seeking a Palantir Platform Engineer in Herndon, VA, to integrate ETL workflows within the Palantir ecosystem and enhance data conditioning and observability. The candidate will work with PySpark and Python to build scalable data pipelines while ensuring data quality and governance across all transformation stages.
Responsibilities include leveraging AI to optimize pipelines, coordinating with DevOps for platform deployment, and integrating validated products into analytics tools for
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