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# data engineer sr

- **Company:** Starbucks
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, C Sharp (Programming Language), Continuous Integration, Data Governance, Software Debugging, DevOps, Apache Hadoop, MapReduce, Apache Hive, NoSQL, Performance Tuning, Service-Oriented Architecture, Shell Script, Software Deployment, Software Engineering, Tableau (Software), Data Logging, Data Processing, Apache Yarn, Apache Spark, Information Technology, Data Management, Data Pipelines
- **Published:** July 22, 2026
- **Apply:** https://www.dice.com/job-detail/52c0f89e-de45-4cd2-bab5-cbbfc0d33ad4

## About the Role

* Bachelor's degree in Computer Science , Management Information Systems, or related discipline

 * 2+ years of professional industry experience with software development

Preferred qualifications

 * 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)

 * Familiarity with Tableau (or similar) is a plus

 * Demonstrated ability to mentor others and operate effectively in Agile/DevOps environments

## Description

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.

As a Data Engineer sr, you will...

 * 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.


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