Palantir Data Engineer

EXLJersey City, NJ

About The Position

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. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Requirements

  • 3-7 years of experience in data engineering
  • 3-7 years of experience with cloud platforms and distributed systems
  • 2+ years of hands-on experience with Palantir Foundry/ AIP
  • Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript
  • Strong experience with AWS services for data processing, storage and AI/ML (e.g., S3, Glue, Athena, Lambda, Redshift, Textract, Titan)
  • Deep understanding of microservices architecture and distributed systems
  • 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
  • Bachelors in engineering, computer science or related field
  • 3+ years of work experience with Data Engineering
  • 2+ years of work experience with Typescript
  • 3+ years of work experience with Python (Programming Language)

Nice To Haves

  • Experience in the insurance domain
  • 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
  • Building and maintaining large-scale data pipelines and platforms
  • Hands-on experience with Palantir Foundry including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications
  • Building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript
  • Integrating AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) into data pipelines
  • Working in agile environments delivering complex data engineering solutions

Benefits

  • For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
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