Data Engineer II

Location: Cupertino, CA (Hybrid)

Introduction

We are seeking a skilled professional 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.

Required Skills & Qualifications

• 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
• Prior work experience at client or in client's Industry
• Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Experience with additional cloud platforms
• Advanced data modeling and analysis skills
• Experience with other container orchestration tools

Day-to-Day 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

Company Benefits & Culture

• Comprehensive health benefits
• Flexible work schedule
• Opportunities for professional development

For immediate consideration please click APPLY to begin the screening process with Alex.