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Palantir Data Engineer

EXL • Python • JavaScript • TypeScript • 3 days ago
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Salary
≈ $20k – $40k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Sep 30, 2026. EXL scores B on the Alion truth index.

Overview
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EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
exlservice.com • HQ: New York, United States • 5000+ employees • Est. 1999
Tech stack of EXL

We are seeking a seasoned Data Engineer with 5-10 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.

Key Requirements

  • 5-10 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.
  • 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.

Key Requirements

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

Key Requirements

  • 5-10 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.
  • 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.

Key Requirements

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