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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer Palantir - **Company:** EXL SERVICE - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon S3, Big Data, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), Performance Tuning, Tensorflow, TypeScript, Data Processing, Pytorch, Snowflake, Pyspark, Kubernetes, Machine Learning Operations, Data Pipelines, Docker, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3d50de78a56f1445 ## About the Role Job Description: · 3+ years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing. · Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift). · Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript. · 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. · Proven expertise or certification in Palantir Foundry is highly preferred. · Prior experience in the insurance domain is highly desirable. Responsibilities: · 3+ years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing. · Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift). · Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript. · 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. · Proven expertise or certification in Palantir Foundry is highly preferred. · Prior experience in the insurance domain is highly desirable. Qualifications: · 3+ years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing. · Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift). · Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript. · 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. · Proven expertise or certification in Palantir Foundry is highly preferred. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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