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About the Role
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.
Responsibilities
- 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.
Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, or related discipline
- 2+ years of professional industry experience with software development
- 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)
- Demonstrated ability to mentor others and operate effectively in Agile/DevOps environments
Skills
- SQL
- NoSQL
- Spark
- Hadoop ecosystem
- Azure
- AWS
- CI/CD tools
- SOA architecture
- Java
- Scala
- C#
- Shell scripting
- Logging/monitoring patterns
- Tableau
Work Type
- Onsite (four days a week)
Experience Level
- Senior
Education Level
- Bachelor’s degree in Computer Science, Management Information Systems, or related discipline
Benefits
- Medical, dental, vision, basic and supplemental life insurance
- Voluntary insurance benefits
- Short-term and long-term disability
- Paid parental leave
- Family expansion reimbursement
- Paid vacation
- Sick time
- Eight paid holidays
- Two personal days per year
- 401(k) retirement plan with employer match
- Discounted company stock program (S.I.P.)
- Starbucks equity program (Bean Stock)
- Incentivized emergency savings
- Financial well-being tools
- 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program
- Student loan management resources
- Backup care
- DACA reimbursement
About the Company
- 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.
Equal Opportunity
- Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
- Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
- Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.