A globally leading consumer device company headquartered in Cupertino, CA is seeking aย Data Engineerย with strong data pipeline development skills and hands-on experience managing containerized workflows in Kubernetes and Docker. This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services.
Responsibilities:
โขย ย ย Build and maintain scalable ELT pipelines using SQL and Python
โขย ย ย Deploy, manage, and monitor containerized data workflows in Kubernetes and Docker
โขย ย ย Collaborate cross-functionally to deliver reliable and well-documented data solutions
โขย ย ย Implement automation and monitoring to improve system performance and reliability
โขย ย ย Support urgent reporting requests and ad-hoc data analysis needs
Key Requirements:
โขย ย ย 2โ5 years of experience in Data Engineering, Software Engineering, or Analytics
โขย ย ย Strong SQL and Python skills with comfort working in Bash/Shell
โขย ย ย Hands-on experience with Spark, Airflow, Snowflake, DBT, and AWS S3
โขย ย ย Strong Kubernetes and Docker experience, including deploying, managing, and troubleshooting workflows
โขย ย ย Familiarity with DevOps practices including CI/CD, monitoring, and automation (AWS preferred)
โขย ย ย Ability to bridge both data engineering and infrastructure responsibilities
โขย ย ย Solid understanding of data modeling, warehousing, and big data ecosystems
โขย ย ย MS or equivalent experience preferred
Type:ย Contract
Duration:ย 12 months with extension
Work Location:ย Cupertino, CA (hybrid)
Pay range:ย $52.00 - $67.00 ph (DOE)