data engineer sr

Starbucks Coffee Company•Nashville, TN
•$111,100 - $185,100•Onsite

About The Position

As a senior Data Engineer at Starbucks, 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. The role builds and supports highly available pipelines for batch, distributed, and real-time processing, translates strategic needs into working solutions with partner teams, and drives operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution.

Requirements

  • Bachelor’s degree in Computer Science, Management Information Systems, or a related discipline.
  • At least 2 years of professional industry experience with software development.

Nice To Haves

  • At least 5 years working with SQL platforms.
  • At least 2 years working with, or strong exposure to, NoSQL platforms.
  • At least 5 years working with Spark and/or the Hadoop ecosystem, such as Hadoop, YARN, MapReduce, Pig, or Hive.
  • At least 1 year implementing data platforms on Azure or AWS; advanced scope may align to 2 or more years.
  • At least 1 year of experience with CI/CD tools and practices; advanced scope may align to 2 or more years.
  • At least 2 years of exposure to SOA architecture and service integration patterns.
  • Proficiency in Java, Scala, or C#, plus strong debugging, troubleshooting, and performance-tuning skills.
  • Proficiency in shell scripting, logging and monitoring patterns, and enterprise deployment best practices.
  • Experience productionalizing big data implementations; advanced scope may include multiple implementations.
  • Familiarity with Tableau or a similar tool.
  • Demonstrated ability to mentor others and work effectively in Agile/DevOps environments.

Responsibilities

  • Build and support highly available data pipelines across batch, distributed, and real-time processing to enable analytics at scale.
  • Partner across teams to define requirements and translate strategic needs into working solutions.
  • Implement data governance and retention practices and improve standards and reliability.
  • Drive operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution.
  • Partner with peer support groups and vendors as needed.

Benefits

  • Medical, dental, and vision insurance.
  • Basic and supplemental life insurance and other voluntary insurance benefits.
  • Short-term and long-term disability.
  • Paid parental leave and family expansion reimbursement.
  • Paid vacation from date of hire and sick time accrued at 1 hour for every 25 hours worked.
  • Eight paid holidays and two personal days per year.
  • 401(k) retirement plan with employer match for eligible partners.
  • Discounted company stock program (S.I.P.) and Starbucks equity program (Bean Stock).
  • Incentivized emergency savings and financial well-being tools.
  • 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan.
  • Student loan management resources and access to other educational opportunities.
  • Backup care and DACA reimbursement.
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