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Microsoft Data Engineer II 
United States, Washington 
424165941

16.07.2024

Required Qualifications:

  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering , or related field AND 2+ years experience in business analytics, data science, software development, data modeling or data engineering work

    o OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering work

    o 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.

Additional / Preferred Qualifications:

  • Bachelor's Degree in Computer Science , Math, Software Engineering, Computer Engineering , or related field AND 5+ years experience in business analytics, data science, software development, data modeling or data engineering work

    o OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering , or related field AND 3+ years of business analytics, data science, software development, data modeling or data engineering work experience

    o OR equivalent experience.

  • Experience in business analytics, data science, software development, data modeling OR data engineering work.
  • 2+ years of experience with cloud-scale applications and live services.

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 Aug 31, 2024.

Responsibilities
  • With guidance, you’ll implement basic code to extra raw data, validate its quality, and ensure the correct data is ingested across multiple areas of work. You’ll also apply standard modification techniques to transform raw data into forms compatible with downstream data sources.
  • You will design and maintain assigned data tools that are used to transform, manage, and access data. You’ll also write code to validate the storage and availability of data platforms so that they’re more resilient.
  • You will follow existing documentation to implement performance monitoring protocols across a data pipeline, building basic visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and improvements that minimize points of failure across a product feature.
  • You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams. You’ll also govern data accessibility within your assigned pipelines and models.
  • Embody our