Posted on: 25/02/2026
Description :
Job Description :
Palantir Data Engineer with strong expertise in PySpark and Python to design, build, and optimize scalable data solutions on the Palantir Foundry platform. The ideal candidate will have a solid data engineering foundation, hands-on experience with big data ecosystems, and the ability to translate complex business requirements into high-quality, production-ready data pipelines.
This role will play a critical part in enabling advanced analytics, AI/ML use cases, and enterprise decision-making through reliable, well-governed data platforms.
Data Pipeline Development :
- Design, develop, and maintain robust, scalable, and reusable data pipelines using PySpark on the Palantir Foundry platform.
- Implement batch and, where applicable, near real-time data processing frameworks to support downstream analytics and applications.
Data Integration & Ingestion :
- Ingest and integrate structured and semi-structured data from multiple internal and external sources into Palantir Foundry.
- Ensure data is ingested following best practices for data lineage, traceability, and governance.
Data Transformation & Modeling :
- Perform complex data cleansing, transformation, enrichment, and aggregation using PySpark and SQL.
- Design and maintain analytical data models optimized for performance, scalability, and ease of consumption.
Palantir Skillset :
- Worked on Foundry pipelines & Ontology
Generic :
- Agile delivery : Scrum, user stories, DevOps mindset
- Domain knowledge : Insurance & Reinsurance lifecycle
- Engineering mindset : Architecture basics, quality engineering, stakeholder skills & Value-added delivery
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1615867