OverviewThe Supportability & Customer-Centric Engagement and Engineering Direct (SUCCEED) Team, part of the broader Windows Servicing Delivery (WSD) organization, is looking for a
Data Engineer II to help build the data foundation for engineering, customer supportability, customer escalation, and operational intelligence scenarios. This role will design, build, and maintain reliable data pipelines, telemetry datasets, measurement models, and dashboards that help engineering, product management, support, and leadership teams make timely, data-driven decisions.
This person will demonstrate solid data engineering fundamentals, have experience working with telemetry and operational datasets, and the ability to turn ambiguous business questions into scalable, trustworthy data products.
At Microsoft, our mission-to empower every person and every organization on the planet to achieve more-guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress-people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Responsibilities- Build and maintain data pipelines, transformations, semantic models, and curated datasets across engineering and operational data sources.
- Partner with product management, engineering teams, support teams, and leadership stakeholders to define metrics, key business measures, and data quality expectations.
- Develop telemetry validation, data freshness, completeness, and reliability checks.
- Create and maintain dashboards, scorecards, and operational reporting, including Microsoft reporting tools or equivalent reporting experiences.
- Integrate data from systems such as Azure DevOps, telemetry platforms, support and escalation systems, release-readiness sources, and business reporting tools.
- Automate manual reporting and intake workflows where possible.
- Improve discoverability, governance, ownership, and documentation of critical datasets.
- Support release readiness, customer health, feature adoption, supportability, and escalation analytics.
- Investigate data issues, root-cause reporting anomalies, and drive fixes with upstream and downstream partners.
QualificationsRequired 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
- 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, data modeling, or data engineering
- 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.
Preferred Qualifications- Experience with Python and PySpark scripting for data transformation, automation, validation, or analytics workflows.
- Experience building extract-transform-load or extract-load-transform pipelines, scheduled data refreshes, production data workflows, or reporting data models.
- Experience with Kusto Query Language, Azure Data Explorer, Microsoft Fabric, Azure Synapse Analytics, Apache Spark, or similar big-data platforms.
- Experience with telemetry, observability, product usage, supportability, or reliability datasets.
- 4+ years of experience with large-scale data platforms, telemetry, business intelligence reporting, or operational analytics.
- Proven experience developing and deploying autonomous artificial intelligence agents or agentic automation systems that reason over data, operate reliably in production, and help redefine data engineering through continuous, automated insight generation.
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Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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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. 
