Sr. Data Engineer + Palantir

Saxon Global • Jersey City, NJ

4d

About The Position

This role requires 3-10 years of hands-on experience in data engineering, with a strong focus on ETL workflows, data pipelines, and cloud computing. The ideal candidate will have a deep understanding of microservices architecture and distributed systems, and be familiar with AI/ML tools and frameworks and their integration into data pipelines. Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools, is also expected.

Requirements

• 3-10 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.
• 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 Apache Spark, Kafka, and 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.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL workflows.
• Develop and optimize data processing and storage solutions on AWS.
• Integrate AI/ML tools and frameworks into data pipelines.
• Implement and manage big data technologies.
• Troubleshoot and optimize data engineering solutions for performance.
• Collaborate with teams on modern DevOps practices, including CI/CD and container orchestration.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed