Palantir Data Engineer

Job Description: Palantir Data Engineer

We are seeking a highly skilled Palantir Data Engineer to design, develop, and maintain scalable data solutions using Palantir Foundry and associated technologies. The ideal candidate will have hands-on experience in data modeling, pipeline building, and analytics enablement across large-scale enterprise environments.

Key Responsibilities:

• Develop, deploy, and optimize data pipelines and workflows within Palantir Foundry using Pipeline Builder and AIP.

• Collaborate with cross-functional teams to design data solutions supporting analytical and operational needs.

• Utilize Python, PySpark, and TypeScript to process, transform, and analyze large datasets.

• Write efficient SQL queries for data extraction, transformation, and validation.

• Manage version control and deployment processes using Git.

• Work with Apache Spark and Hadoop ecosystems for distributed data processing and optimization.

• Ensure data quality, governance, and performance tuning across the entire data lifecycle.

Required Skills & Experience:

• Strong expertise in Palantir Foundry and big data frameworks (Spark, Hadoop).

• Proficiency in Python, PySpark, TypeScript, and SQL.

• Hands-on experience with data integration, transformation, and orchestration.

• Excellent analytical, debugging, and problem-solving abilities.

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