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Microsoft Data Science Engineer 
United States, Washington 
235542523

11.06.2024



This role also working with third party vendors and tracking mtbf's and issues across device generations.

Required Qualifications:

  • Bachelor's Degree in Computer Science, or related field
    • OR equivalent experience.

Other Requirements:

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, data modeling or data engineering work

    • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field

    • OR equivalent experience.

  • Experience with Azure services and administration thereof
  • Experience with Data Networking and large scale ethernet networks
  • Experience in designing/implementing large-scale data infrastructure to support a Data Science team
  • Ability to write code in a variety of programming/scripting languages such as Python, C++/C#, Java and/or PowerShell, etc.
  • Familiarity with relational databases
  • Working knowledge of a variety of big data sources in Kusto,Spark, Scala, and/or other big data systems
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR equivalent experience
  • Experience in a Data Engineer or Software Engineer role with a focus on cloud-based big data processing
  • Experience in developing tools and data pipelines using Azure Data Factory, Synapse, Apache Spark or similar tools
  • Experience in building and optimizing "big data" workflows using modern cloud-based platforms, including ETL
  • Experience in supporting business intelligence data pipelines, serving data exploration and visualization tools like Azure Data Explorer and Power BI
  • Understanding of data modeling and data architecture design patterns

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until July 7, 2024.


Responsibilities
  • Design and develop distributed cloud-scale data pipelines and software services that are engineered for scale, availability, high performance, and high reliability.
  • Own and deliver complete features including design, architecture, implementation, testability, debugging, and shipping.
  • Collaborate with internal partner teams and external customer teams to drive key platform insights and innovate scenarios to support new capabilities.
  • Advocate for best practices in data engineering.