data engineer sr- ST; Nashville, TN

Now Brewing – Data Engineers sr #tobeapartner

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.

As a Data Engineer sr, you’ll build enterprise data services that power analytics and decision-making. You’ll design, develop, test, and support data pipelines that enable continuous data processing for data exploration, preparation, and real-time business analytics—while modeling Starbucks guiding principles.

As a Data Engineer sr, you will…

• Build and support highly available data pipelines across batch/distributed and real-time processing to enable analytics at scale.

• Translate strategic needs into working solutions by partnering across teams to define requirements, implement data governance and retention practices, and improve standards and reliability.

• Drive operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution—partnering across peer support groups and vendors as needed.

We’d love to hear from people with\:

• Bachelor’s degree in Computer Science, Management Information Systems, or related discipline

• 2+ years of professional industry experience with software development

Preferred qualifications

• 5+ years working with SQL platforms

• 2+ years working with (or strong exposure to) NoSQL platforms

• 5+ years working with Spark and/or the Hadoop ecosystem (e.g., Hadoop, YARN, MapReduce, Pig, Hive)

• 1+ years implementing data platforms on Azure or AWS (advanced scope may align to 2+ years)

• 1+ years experience with CI/CD tools and practices (advanced scope may align to 2+ years)

• 2+ years exposure to SOA architecture and service integration patterns

• Proficiency in Java, Scala, or C#, plus strong debugging, troubleshooting, and performance tuning

• Proficiency in shell scripting, logging/monitoring patterns, and enterprise deployment best practices

• Experience productionalizing big data implementations (advanced scope may include multiple implementations)

• Familiarity with Tableau (or similar) is a plus

• Demonstrated ability to mentor others and operate effectively in Agile/DevOps environments