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Data Engineer

Microsoft
United Statesfull_timeVerifiedPosted 10 Sept 2024
💰 $208,800/yr($98,300/yr$208,800/yr)

About the role

Cloud Operations + Innovation (CO+I) is the team behind one of the World’s largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft’s “Cloud First” mission. Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate, high-energy program managers to help achieve that mission.   
 
If you want to have a fundamental impact on how Microsoft’s Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, and have good technical and business acumen, leadership, creativity, and out-of-the-box thinking are some of the skills you bring to the table - this job is for you!   
 
We are looking for a Data Engineer to collaborate with our data science and scheduling product management team to build solutions that improve our Data Center delivery time. As a Data Engineer, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally. 

 

The Data Engineer of the CO+I E2E Delivery team is responsible for leading the team of Data Engineers who build and maintain the data pipelines that enable and accelerate Data Science and Machine Learning at Microsoft, including tooling for training, testing, serving, and monitoring models. CO+I continues to invest heavily in business intelligence and data science, and you have the opportunity to lay the foundation for work we do in these areas.

 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

  • Designing and implementing data solutions that drive business impact. Turning data chaos into scalable, efficient, and automated solutions.
  • Adept at leading cross-functional teams, defining data strategies, and leveraging the latest technologies in data handling and data analytics.
  • Build, Develop, Grow and Lead a team of data engineers. Translate business requirements into data models that are easy to understand and used by different subject areas.
  • Design, implement and build data models and pipelines that deliver data with measurable quality under the SLA.
  • Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy.
  • Improve existing systems, including what areas have gaps that need to be filled, and have started working with the team and stakeholders to scope and prioritize solutions.
  • Establish rigorous engineering processes to ensure service quality, delivery of new capabilities, and continuously improving metrics.
  • Foster and develop talented engineers capable of developing and running scalable, reliable, maintainable services.
  • Work closely with Research and Data Science to influence how optimization and modeling improve our decisions.

    Other

Qualifications

Required Qualification:

  • 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
    • 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
    • OR equivalent experience.

 

Other Requirements:

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 Qualification

  • Experience creating high-quality data pipelines.
  • Experience bringing people together across teams to successfully c

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Company

Microsoft

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