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.
Base Compensation Range: 90,000 – 140,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
• 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.
Key Requirements
• 3+ years of work experience with Data Engineering
• 2+ years of work experience with Palantir
• 3+ years of work experience with Python (Programming Language
- Bachelor's in Computer Science, Engineering, Information Technology, or a related field.
Skills Required
- 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 (data ingestion, Pipeline Builder, transformations, Foundry datasets).
- Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript.
- Proficiency in Python.
- Experience with PySpark.
- Experience with TypeScript/JavaScript.
- Experience with AWS data services (S3, Glue, Athena, Lambda, Redshift).
- Experience with big data technologies such as Snowflake.
- Deep understanding of microservices architecture and distributed systems.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and integration into data pipelines.
- Exposure to modern DevOps practices, CI/CD pipelines, Docker and Kubernetes.
- Experience working in agile environments delivering complex data engineering solutions.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Palantir Foundry certification or demonstrated project experience.
- Prior experience in the Insurance domain.
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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