Senior Data Engineer w/ Palantir

Confidential

Remote job permanent

Posted: March 7, 2026

Required Skills

Job Description

Our Fortune 500 client is seeking a Senior Data Engineer with Palantir to contribute to high-impact innovation projects within the Insurance sector. This is an opportunity within a strategic initiative where we are competing head-to-head to deliver the most sophisticated data solutions.

This role is part of a larger strategy leveraging Palantir Foundry and Generative AI (GenAI) to enhance risk assessment, claims processing, and decision-making for enterprise-scale insurance solutions. You are a senior engineer who thrives in high-stakes environments and has a deep interest in the intersection of Big Data and AI.

Responsibilities

As a Senior Data Engineer, you will:

• Architect Foundry Pipelines: Design, develop, and maintain scalable data pipelines within the Palantir Foundry ecosystem (Data Connection, Code Repos, Pipeline Builder).

• Implement ETL processes: Implement ETL and real-time data pipelines for efficient data handling and integration.

• Optimize PySpark: Write and tune high-performance Python/Spark code to transform massive insurance datasets into actionable insights.

• Build the Ontology: Manage and scale the Foundry Ontology, ensuring data models accurately represent complex real-world insurance entities.

• Implement AI/GenAI: Integrate GenAI capabilities (using Palantir AIP or external AI APIs) to automate workflows and enhance data enrichment.

• Implement CI/CD: Implement practices using CodePipeline and CodeBuild to streamline development and deployment processes.

Collaboration & Agile Development

• Gather requirements, set targets, define interface specifications, and conduct design sessions.

• Work closely with data consumers to ensure proper integration.

• Adapt and learn in a fast-paced project environment.

Work Conditions

• Start Date: ASAP

• Location: Remote

• Long-term contract based-role: 6+month

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