Sr. data engineer
About The Position
As a Senior Data Engineer, you will build and support highly available data pipelines for batch, distributed, and real-time processing to enable analytics at scale. You will translate strategic needs into working solutions by partnering across teams to define requirements, implement data governance and retention practices, and improve standards and reliability. You will build and sustain production-grade data foundations that power data science products and business decisions, partnering closely with data scientists to understand use cases and ensure data is reliable, well-defined, and fit for its business purpose. The position is onsite four days per week. Starbucks describes its benefits and compensation as subject to applicable plans, policies, eligibility, and location-specific requirements.
Requirements
- 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 Apache Spark and large-scale distributed data processing platforms such as Databricks, Snowflake, or Fabric.
- 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 1 year of experience with data orchestration platforms such as Airflow or Data Factory, or similar.
- At least 2 years of exposure to SOA architecture and service integration patterns.
- Proficiency in Java, Scala, or C#, and Python, with 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.
- Demonstrated ability to mentor others and work effectively in Agile/DevOps environments.
Nice To Haves
- Familiarity with Tableau or a similar tool.
Responsibilities
- Build and support highly available data pipelines across batch, distributed, and real-time processing.
- Partner across teams to define requirements and translate strategic needs into working solutions.
- Implement data governance and retention practices and improve data standards and reliability.
- Build and sustain production-grade data foundations for data science products and business decisions.
- Partner with data scientists to understand use cases and ensure data is reliable, well-defined, and fit for business needs.
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 accrual.
- 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
Senior
Education Level
No Education Listed
