Palantir Data Engineer

Job description

**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) **Responsibilities: 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. **Qualifications: 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)