Microsoft Data Science Engineer 

United States, Washington 

235542523

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.

• 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.