Overview
What if your work helped redefine how one of the worldâs largest commercial engines plans, decides, and deliversâusing AI as a firstclass primitive?
The COO Revenue Operations team sits at the heart of Microsoftâs commercial business (MCAPS). Our mission is simple but ambitious: shorten the distance between customer signal and meaningful action. We design and operate the systems that power planning, execution, and growth across Microsoftâs global commercial organizationâand weâre rearchitecting them for the age of Generative AI.
This is not research in isolation. This is shipping AI-powered systems used by tens of thousands of employees worldwide.
If youâre a junior data engineer who wants ownership, scale, and steep learning curves and finds themselves nodding along to Steve Yeggeâs rants, this is the kind of team you join once and grow fast on.
Responsibilities
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Build responsible AI-compliant data products and/or applications.
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Plans and creates efficient techniques and operations (e.g., inserting, aggregating, joining) to transform raw data into a form (e.g., dimensional data model) that is compatible with downstream data consumers, databases, and formats that support applications, analytics and reporting.
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Identifies opportunities to leverage and contribute to the development of data tools that are used to transform, manage, and access data, scaling with efficiency and reduced time to new data insights.
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Leads the design of a data model that is appropriate for the project and prepares design specification documents to model the flow and storage of data for a data pipeline.
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Collaborates with appropriate stakeholders across teams and escalates concerns around data requirements by assessing and conducting feature estimation.
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Performs root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement solutions that minimize points of failure.
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Writes code to implement performance monitoring protocols across data pipelines.
Qualifications
Required/minimum qualifications
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Additional Or Preferred Qualifications
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
requesting accommodations.