Senior Data Engineer — Scalable Pipelines & Platforms

Starbucks Corp.

Nashville (TN)

On-site

USD 120,000 - 160,000

Full time

5 days ago

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Benefits offered by this job

Medical insurance

Dental insurance

401(k) match

Tuition coverage

Job summary

Starbucks Corp. is seeking a Data Engineer Sr to build and maintain scalable data pipelines across batch, real-time, and analytics platforms.

You will partner with teams to define data requirements, governance, and reliability while delivering production-grade data foundations for data science and business decisions. You will work with SQL/NoSQL, Spark, cloud platforms (Azure/AWS), and orchestration tools like Airflow/Data Factory, mentoring others in Agile/DevOps and delivering robust data

Qualifications

5+ years of SQL platform experience.
2+ years exposure to NoSQL platforms.
5+ years with Apache Spark and large-scale processing.
1+ years on Azure or AWS cloud platforms.
1+ years CI/CD tools and practices.
1+ years data orchestration with Airflow or Data Factory.
2+ years exposure to SOA architecture.
Proficient in Java/Scala/C#/Python with debugging skills.
Shell scripting, logging/monitoring patterns, deployment best practices.
Experience productionalizing big data implementations.
Familiarity with Tableau or similar is a plus.
Mentoring ability and Agile/DevOps environment experience.

Responsibilities

Build and support highly available data pipelines across batch and real-time processing.
Translate strategic needs into working data solutions and governance practices.
Partner with data scientists to ensure reliable, well-defined data foundations.
Drive standards and reliability across data platforms at scale.