We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP.
The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus.

Key Requirements
3-7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms.
2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.
Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript.
Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.
Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
Deep understanding of microservices architecture and distributed systems.
Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
Experience with big data technologies like Snowflake.
Strong problem-solving and performance optimization skills.
Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.
Experience working in agile environments delivering complex data engineering solutions.
Palantir Foundry certification or demonstrated project experience is highly preferred.
Prior experience in the Insurance domain is highly desirable.

Palantir Data Engineer + Typescript

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