Palantir Data Engineer
Hyderabad, Telangana, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- AWS
- Docker
- S3
- PySpark
- PyTorch
- TensorFlow
- JavaScript
- TypeScript
- Redshift
- Snowflake
- Kubernetes
Source — Tool mentions in context
• 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).
• 2+ years of work experience with Palantir • 3+ years of work experience with Python (Programming Language) Key Requirements
• 2+ years of work experience with Palantir • 3+ years of work experience with Python (Programming Language)
• 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.
• 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.
• 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.
• 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.
• 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.
Posting record
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- Live
- First seen by us
- Oct 3, 2026 · 13d ago
- Recorded sightings
- 74
- Last seen by us
- Oct 15, 2026
- Employer says posted
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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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- Ask the employer about the salary range before committing time to the process.
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- Location & working pattern
Hyderabad, Telangana, India
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