Senior Data Engineer

Salary: $120,000 - 160,000 per year Requirements:

• We require a bachelors degree in Computer Science, Management Information Systems, or a closely related field.
• We want at least 2 years of professional experience in software development.
• We prefer 5+ years of experience working with SQL-based platforms.
• We prefer 2+ years of experience with NoSQL systems, or strong exposure to them.
• We prefer 5+ years of experience using Spark and/or the Hadoop ecosystem, such as Hadoop, YARN, MapReduce, Pig, or Hive.
• We prefer 1+ years of experience implementing data platforms on Azure or AWS, with advanced scope aligning to 2+ years.
• We prefer 1+ years of experience with CI/CD tools and practices, with advanced scope aligning to 2+ years.
• We prefer 2+ years of exposure to SOA architecture and service integration patterns.
• We need proficiency in Java, Scala, or C#, along with strong debugging, troubleshooting, and performance optimization skills.
• We value experience with shell scripting, logging and monitoring practices, and enterprise deployment standards.
• We look for experience productionizing big data solutions.
• Familiarity with Tableau or similar analytics tools is a plus.
• We value a proven ability to mentor others and thrive in Agile and DevOps environments.

• We design, develop, test, and support enterprise data services that power analytics and business decision-making.
• We build and maintain highly available data pipelines for both batch and real-time processing at scale.
• We partner across teams to translate strategic needs into practical technical solutions.
• We help define requirements, establish data governance and retention practices, and strengthen standards and reliability.
• We improve operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution.
• We collaborate with peer support teams and vendors when needed to resolve issues and keep platforms running smoothly.

• AWS
• Azure
• Big Data
• C#
• CI/CD
• DevOps
• Hadoop
• Hive
• Support
• Java
• NoSQL
• SQL
• Scala
• Spark
• Tableau
• Yarn
• Cloud

More:

We are Starbucks, a company built on connection, coffee, and a tradition of developing extraordinary leaders who serve others. In this senior Data Engineer role, we build the data services that enable exploration, preparation, and real-time analytics across the enterprise. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; life and disability insurance; paid parental leave; vacation, sick time, holidays, and personal days; retirement savings with company match; stock and equity programs; emergency savings support; tuition coverage through Arizona State Universitys online program; student loan resources; backup care; and DACA reimbursement. We work onsite four days per week and support equal opportunity employment and reasonable accommodations.

last updated 40 week of 2026