data engineer sr- ST; Seattle, WA
About The Position
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. The role builds and supports highly available pipelines across batch/distributed and real-time processing to enable analytics at scale. It translates strategic needs into working solutions by partnering across teams to define requirements, implement data governance and retention practices, and improve standards and reliability. It also drives operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution, partnering with peer support groups and vendors as needed. The position is based in Seattle, Washington, and is onsite four days a week.
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
- 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, such as Hadoop, YARN, MapReduce, Pig, or Hive.
- 1+ years implementing data platforms on Azure or AWS; advanced scope may align to 2+ years.
- 1+ years of experience with CI/CD tools and practices; advanced scope may align to 2+ years.
- 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 operate 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 translate strategic needs into working solutions, 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.
- 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.
- Family expansion reimbursement.
- Paid vacation from date of hire.
- Sick time accrued at 1 hour for every 25 hours worked.
- Eight paid holidays and two personal days per year.
- Eligible partners may participate in a 401(k) retirement plan with employer match.
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
