Senior Data Engineer: Real-Time Analytics & Pipelines

Starbucks Corp.; Nashville (TN); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) with match

Bean Stock equity program

Tuition coverage through Starbucks/ASU

Job summary

Starbucks Corp. is seeking a senior Data Engineer to build enterprise data services powering analytics, real‑time processing, and decision‑making.

You will design, develop, test, and support data pipelines, collaborating across teams to translate strategic needs into scalable solutions. The role requires a Bachelor's in CS or MIS and 2+ years in software development, with experience in SQL, Spark/Hadoop, cloud platforms, and CI/CD.

Qualifications

• Bachelor’s degree in Computer Science, MIS, or related discipline.
• 2+ years of professional industry experience with software development.

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.

Skills

Java

Scala

C#

Shell scripting

Logging/monitoring

Agile/DevOps

Education

Bachelor’s degree in Computer Science / MIS or related discipline

Tools

Spark

Hadoop

CI/CD tools

Azure

AWS

Tableau

Job description

Starbucks Corp. is seeking a senior Data Engineer to build enterprise data services powering analytics, real‑time processing, and decision‑making.

You will design, develop, test, and support data pipelines, collaborating across teams to translate strategic needs into scalable solutions. The role requires a Bachelor's in CS or MIS and 2+ years in software development, with experience in SQL, Spark/Hadoop, cloud platforms, and CI/CD.