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Specialized Palantir requirement reduces pool but metro location and broad tech stack raise competition.
Palantir Foundry expertise and insurance-domain preference make skills less transferable across industries.
Explicit multi-year overall and Palantir requirements plus language and certification preferences make filtering highly strict.
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Design and build scalable data solutions and robust data pipelines leveraging Palantir Foundry.
Model enterprise datasets and enable analytics and AI/ML use cases on Palantir Foundry.
Develop interactive applications using Foundry Workshop, Slate, and custom frontends with TypeScript.
5-10 years of overall experience in data engineering with large-scale data pipelines and platforms.
2+ years of hands-on experience specifically with Palantir Foundry (data ingestion, pipeline building, transformations).
Proficient programming skills in Python, PySpark, and TypeScript/JavaScript.
Experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
Experienced with microservices architecture and distributed systems, enabling efficient data engineering at scale.
Prior exposure to AI/ML tools integration in data pipelines and modern DevOps practices including CI/CD and container orchestration (Docker, Kubernetes).
Insurance domain experience is highly desirable, indicating domain-specific data solution expertise.