Senior Palantir Data Engineer

Arthur Grand Technologies IncLavallette, NJ
$70 - $80Hybrid

About The Position

We are seeking a seasoned Data Engineer with 7-10 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP & Palantir Ontology. 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.

Requirements

  • 7-10 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
  • 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
  • 10+ years of work experience with Data Engineering
  • 2+ years of work experience with Palantir
  • 3+ years of work experience with Python (Programming Language)

Nice To Haves

  • Palantir Foundry certification or demonstrated project experience is highly preferred
  • Prior experience in the Insurance domain is highly desirable

Responsibilities

  • Designing scalable data solutions
  • Building robust data pipelines
  • Modelling enterprise datasets
  • Enabling analytics and AI/ML use cases on Palantir Foundry
  • Working with Foundry datasets and applications
  • Building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript

Benefits

  • market-relevant benefits
  • continued opportunities for professional growth
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