data engineer sr- ST
Senior
Analytics
Big Data
Bigdata
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Engineer
Data Governance
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Viz
Data Warehouse
Database
Databases
Dataviz
ETL
Reporting and Analytics
Spark
SQL
Tableau
Job Description
Join Starbucks in Nashville, onsite, where a senior data engineer will design enterprise data services and pipelines that power analytics and real time decision making. The position offers a salary range of USD 111,000 to 209,500 per year and requires a bachelor’s degree plus at least two years of software development experience.
Responsibilities
- Build enterprise data services that power analytics and informed decision making.
- Design, develop, test, and support data pipelines that support continuous data processing for data exploration, preparation, and real time analytics, aligning with Starbucks guiding principles.
- Construct and maintain highly available data pipelines across batch and real time processing to enable analytics at scale.
- Collaborate with multiple teams to translate strategic needs into practical solutions, define requirements, implement data governance and retention practices, and improve standards and reliability.
- Promote operational excellence through automation, monitoring, documentation, performance analysis, and root cause resolution, coordinating with peer support groups and vendors as needed.
Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, or a related field.
- 2+ years of professional industry experience in software development.
Technologies
- SQL platforms
- NoSQL platforms
- Spark
- Hadoop ecosystem (Hadoop, YARN, MapReduce, Pig, Hive)
- Azure
- AWS
- Java
- Scala
- C#
- Shell scripting
- Tableau
Benefits
- Medical, dental, and vision insurance
- Basic and supplemental life insurance along with other voluntary 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
- 401(k) retirement plan with employer match
- Starbucks equity program (Bean Stock) and S.I.P. stock program
- Incentivized emergency savings and financial well being tools
- 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University online via the Starbucks College Achievement Plan
- Student loan management resources and access to other educational opportunities
- Backup care and DACA reimbursement
Preferred Qualifications
- 5+ years working with SQL platforms
- 2+ years working with NoSQL platforms
- 5+ years working with Spark and/or the Hadoop ecosystem (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
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