Data Engineer Palantir

United StatesOnsiteFull TimePosted 1 month agoVisa sponsorship available

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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.

· Prior experience in the insurance domain is highly desirable.

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