1+ months

Senior Data Science Engineer - Starbucks

Seattle, Washington

Job Summary And Mission

This position contributes to Starbucks success by building data services for analytic solutions. You will build data pipelines that are scalable, repeatable, secure and adhere to data quality standards.; provide end-to-end infrastructure design for our cloud tech and work collaboratively with IT, data science and the business to build batch/real-time data solutions. With a bias for action, you will leverage Agile to both fail fast and deploy MVP fast. You are primarily a data engineer but are passionate about developing engineering solutions to deploy data science algorithms that enhance customer experience and drive revenue for the business.

Models and acts in accordance with Starbucks guiding principles.


Summary Of Key Responsibilities

Responsibilities and essential job functions include but are not limited to the following:

  • Translate business requirements into technical requirements to ensure solutions meet business needs.
  • Assist in the definition of solution architecture that ensures solutions are built within consistent framework.
  • Demonstrate deep knowledge and skills to be an individual contributor and lead others in the data engineering team to build and support batch, real time big data pipeline and technology capabilities on Microsoft Azure.
  • Support Data science/ Analytical workloads in data preparation, feature extraction by reshaping, wrangling and blending enterprise data sets and Adhoc data sets into data assets that support exploratory data science. Validate data sets
  • Perform the required data validation
  • Operationalize Machine Learning models in Batch ,Real Time Data Pipelines and scalable Restful APIs to create analytical applications.
  • Lead the resolution activities for complex data and system issues.
  • Develop and maintain documentation relating to all assigned systems and projects
  • Develop Infrastructure as code and CI CD pipelines that is consistent with the frameworks.
  • Lead by example by demonstrating the Starbucks mission and values.
  • Work in an agile environment. Develop and drive multiple cross-departmental projects.


Basic Qualifications

  • Bachelor’s degree in computer science, management information systems, or related discipline, or equivalent work experience
  • Experience architecting and building big data pipelines using Spark, Map Reduce 3+ Years
  • Expertise in programming languages like Scala, Java, C# 3+ Years
  • Expertise in scripting languages like python, R 1+ Years
  • Experience in using Microsoft Azure for Data and Analytics solutions ( Azure Data Lake, Azure Data Factory, Azure Data Lake Analytics/ USQL, Azure Stream Analytics, Azure Machine Learning, Azure Storage ) 1+years
  • PowerShell, ARM 1+ Desirable
  • Machine Learning Familiarity Desirable
  • Web Application security, SSL OAuth Familiarity Desirable
  • Overall Data Engineering experience 3+ year


Preferred Qualification

  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities
  • Effective communication skills
  • Excel at problem solving
  • Proven ability and desire to mentor others in a team environment
  • Practice, evangelize and be an ambassador for agile and DevOps culture
  • Proven ability and desire to lead others in a team environment


Starbucks is an equal opportunity employer of all qualified individuals; including minorities, women, veterans, and individuals with disabilities, and regardless of sexual orientation or gender identity. Starbucks will consider for employment qualified applicants with criminal histories in a manner consistent with all federal, state, and local ordinances.


  • Data Management
  • Math
  • Software Engineering

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Senior Data Science Engineer - Starbucks

Seattle, Washington

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Seattle, Washington

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