Data Engineer II

The Azure Core Organization is responsible for creating the foundation of Microsoft’s Cloud Platform for utility computing. This platform is one of the lowest levels of the services software/hardware stack and includes an efficient, virtualized computational substrate, a fully automated service management system, and a comprehensive set of highly scalable storage services.

The Azure Compute Capacity and Efficiency (AC2E) team is the team in Azure Core tasked with managing all aspects of Compute capacity and efficiency management across the fleet. Capacity Management needs to ensure that on the one hand, there is sufficient capacity across all regions, allocation domains, and hardware infrastructure to meet all customer demand, while on the other hand ensuring that capacity is provisioned efficiently thereby avoiding overspending and COGS/CAPEX impact. At the scale of Azure’s business, managing this trade-off across the entire Azure Compute fleet is an enormously complex and challenging task, where improvements can make the difference between customer allocation failures on the one hand, and gargantuan savings on the other.

As a Data Engineer II in the team, you will work closely with our software engineers, program managers, and data scientists across different teams within Azure Core. You will also collaborate with a variety of internal partner teams across Azure and Microsoft. You will build reliable, secured, highly scalable, performant data pipelines to enhance the Azure Compute allocation, deliver capacity management and efficiency improvements. The value of your work will be reflected in improvements to the Azure platform, Azure service capacity fulfillment rate, customer satisfaction, and various efficiency metrics, including COGS reduction. You will have opportunities for mentorship, accelerate your career growth, and work on truly high-business impact areas.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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.

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 May 18, 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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

#Azurecorejobs

• 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 Culture  &  Values