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Palantir Foundry Developer & Data Engineer - Sparc technology services inc
Data Engineer
Senior Palantir Foundry Developer & Data Engineer crafting robust data pipelines and full‑stack solutions using Python, PySpark, and Foundry’s platform to deliver scalable, high‑quality data services.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines within Palantir Foundry, ensuring data quality and performance.
- Collaborate with cross‑functional teams to translate business requirements into clean, efficient code.
- Implement and optimize PySpark jobs, leveraging Python for data transformation and orchestration.
- Integrate Foundry’s data services with external APIs and internal applications, supporting full‑stack development.
- Monitor, troubleshoot, and enhance pipeline reliability, applying best practices in logging, testing, and documentation.
Requirements
- Proven experience with Palantir Foundry and its data platform.
- Strong Python and PySpark programming skills for data engineering tasks.
- Hands‑on knowledge of full‑stack development concepts and tools.
- Excellent analytical and problem‑solving abilities.
- Effective communication skills for collaborating with stakeholders and team members.