Senior Data Engineer — Scale Real-Time Analytics Pipelines

Starbucks; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Life insurance

Disability insurance

Parental leave

Vacation & holidays

401(k) retirement plan with employer”s

Stock program (Bean Stock)

Job summary

Starbucks is seeking a senior Data Engineer to design, build, test, and support data pipelines powering analytics and real-time decision-making. You’ll translate business needs into scalable data solutions, partner across teams for governance and reliability, and drive automation and performance improvements across the data platform.

The role requires a BS in a relevant field and 2+ years of software development experience; familiarity with Spark/Hadoop, SQL/NoSQL, and cloud platforms

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 across peer groups and vendors.

Skills

SQL platforms

NoSQL platforms

Spark/Hadoop

Azure/AWS

CI/CD tools

SOA/Service integration

Java/Scala/C#

Shell scripting

Monitoring/logging

Tableau familiarity

Education

Bachelor’s degree in Computer Science/MIS or related

Job description

Starbucks is seeking a senior Data Engineer to design, build, test, and support data pipelines powering analytics and real-time decision-making. You’ll translate business needs into scalable data solutions, partner across teams for governance and reliability, and drive automation and performance improvements across the data platform.

The role requires a BS in a relevant field and 2+ years of software development experience; familiarity with Spark/Hadoop, SQL/NoSQL, and cloud platforms