Data Engineer
EXL Talent Acquisition Team
Palantir Data Engineer
About this role
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)
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
Frequently Asked Questions
Is the salary disclosed for the Palantir Data Engineer position at EXL Talent Acquisition Team?
The salary for this Palantir Data Engineer role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Palantir Data Engineer position at EXL Talent Acquisition Team located?
This Palantir Data Engineer role at EXL Talent Acquisition Team is based in Hyderabad, Telangana, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Palantir Data Engineer position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Palantir Data Engineer job at EXL Talent Acquisition Team posted?
This Palantir Data Engineer position at EXL Talent Acquisition Team was posted on Sep 30, 2026. Apply as soon as possible — early applications are often reviewed first.
Palantir Data Engineer
EXL Talent Acquisition Team
You'll be redirected to EXL Talent Acquisition Team's official application page on oraclecloud.