Starbucks Coffee Company senior data science engineer, Starbucks Technology - Seattle, WA in Seattle, Washington

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 Reduce3+ Years

  • Expertise in programming languages like Scala, Java, C#3+ Years

  • Expertise in scripting languages like python, R1+ 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, ARM1+ 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.