Data Engineer (SW)

Data Engineer (SW)#26-16144 $62-$67 per hour Cupertino, CA Onsite Job Description Our client, is a Consumer Products And Software Services company, is looking for a Data Engineer (SW) for their Cupertino, CA/Hybrid location.

Responsibilities:

Build and maintain scalable ELT pipelines using SQL and Python Deploy, manage, and monitor containerized data workflows in Kubernetes and Docker Collaborate cross-functionally to deliver reliable and well-documented data solutions Implement automation and monitoring to improve system performance and reliability Support urgent reporting requests and ad-hoc data analysis needs

Requirements:

2-5 years of experience in Data Engineering, Software Engineering, or Analytics Strong SQL and Python skills with comfort working in Bash/Shell Hands-on experience with Spark, Airflow, Snowflake, DBT, and AWS S3 Strong Kubernetes and Docker experience, including deploying, managing, and troubleshooting workflows Familiarity with DevOps practices including CI/CD, monitoring, and automation (AWS preferred) Ability to bridge both data engineering and infrastructure responsibilities Solid understanding of data modeling, warehousing, and big data ecosystems MS or equivalent experience preferred