Data Engineer

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft's cloud services. Microsoft Cloud Operations + Innovation is responsible for designing, building, and operating our unified global datacenters, managing the supply planning and capacity utilization of our unified infrastructure, and is responsible for all of the operations needed to run the physical infrastructure (including supply chain, hardware, power, security, and workflow teams).

Are you passionate about Cloud Computing technology and driving growth in one of Microsoft's core businesses? Do you aspire to be part of a team relentlessly focused on customer needs, market expansion and advancing Microsoft Cloud's first strategy? If yes, look no further than the CO+I Team.

We offer engaging and motivating work where you'll be empowered to make an impact. You will have the independence and hybrid working flexibility you need. An astute and diverse work culture is at the core of our team and broader group. We are passionate about life-long learning, that believe in data-based decision making to identify and solve problems. We take a holistic approach to problem solving and are believers of collaborations to harness our diverse experience and capabilities to deliver impact.

The CO+I IPA Energy Portfolio Optimization team pulls in data across dozens of global energy markets, Microsoft's data center footprint and renewable energy portfolio to model our financial exposure to electricity markets, track progress towards our sustainability goals, and inform procurement strategy across the energy org. We are hiring an exceptional Data Engineer to focus on building efficient architecture and integrating across our many upstream data sources and downstream consumers. This role will provide the candidate a unique opportunity to join a high impact team and gain exposure to business-critical topics of energy markets and cloud infrastructure.

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:

• Architect and Develop Data Pipelines: Design, build, and maintain scalable data pipelines and workflows using Python and SQL to support data integration, transformation, and loading processes.
• Build and Maintain ADO Pipelines: Develop and manage Azure DevOps (ADO) pipelines and other Azure Infrastructure (subscription, blob storage, VMs, etc.) to automate deployment and integration workflows, ensuring efficient and reliable delivery of data solutions.
• Implement Best Software Practices: Drive and enforce best practices in software development, including code reviews, testing, and continuous integration/continuous deployment (CI/CD) processes.
• Data Quality and Governance: Ensure data quality, integrity, and governance by implementing robust data validation, monitoring, and auditing processes.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Other
  • Embody our Culture & Values

Qualifications:

Minimum Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • 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 Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 2, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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