Job Summary:
We are looking for a Palantir Data Engineer to join our data engineering team! Even if you haven’t worked with Palantir Foundry before, don’t worry — if you're skilled in PySpark and Python, you'll be able to get up to speed quickly. In this role, you will design, develop, and maintain complex data pipelines, optimize data workflows within the Palantir platform, and collaborate closely with cross-functional teams to unlock data-driven insights. If you're passionate about working with cutting-edge technologies to tackle complex business challenges, this role is for you!
Key Responsibilities:
Design, build, and maintain scalable data infrastructure and pipelines within the Palantir Foundry ecosystem.
Integrate, process, and manage large datasets from multiple sources, ensuring seamless data flow across the organization.
Optimize data workflows and maintain high performance of data pipelines, leveraging Palantir's capabilities.
Collaborate with Data Analysts and other teams to understand and implement technical data requirements.
Ensure data quality, security, and compliance in all data operations.
Troubleshoot, monitor, and resolve data issues to ensure smooth and efficient operations.
Continuously explore and implement best practices in data engineering and keep up-to-date with Palantir's evolving tools and technologies.
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