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Job Details
Posted date: Mar 09, 2026
There have been 43 jobs posted with the title of Senior Data Engineer all time at Microsoft.Category: Data Engineering
Location: Redmond, WA
Estimated salary: $188,900
Range: $119,800 - $258,000
Employment type: Full-Time
Work location type: 3 days / week in-office
Role: Individual Contributor
Description
OverviewExcel is one of the most widely used productivity products in the world, powering decisions for individuals, teams, and enterprises every day. As Excel continues to evolve—especially with AI-powered experiences—high-quality, trustworthy data is foundational to how we understand customer behavior, measure product impact, and make confident product decisions.
We’re looking for an Excel Senior Data Engineer to design, build, and operate the data pipelines and telemetry foundations that power analytics, experimentation, and AI-driven insights across Excel. In this role, you’ll work with large-scale, end-to-end product telemetry, ensure data is reliable and well-modeled, and partner closely with Product Managers, Software Engineers, Data Analysts, and Data Scientists to enable deep understanding of how Excel is used at global scale.
This is a hands-on, high-impact role where the data systems you build directly influence product strategy and how millions of customers experience Excel.
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.
Responsibilities
Design, build, and maintain scalable, reliable data pipelines that ingest, transform, and serve Excel product telemetry and related datasets.Partner with Product Managers and Software Engineers to define telemetry requirements and ensure instrumentation supports clear product questions and success metrics.Own data modeling and transformation logic that turns raw event data into well-structured, analytics-ready datasets.Ensure data quality, correctness, and reliability through validation, monitoring, and proactive issue detection across pipelines.Collaborate closely with Data Analysts, Data Scientists and partner teams to enable efficient analysis, experimentation, and AI/ML workflows.Build and maintain monitoring, alerting, and documentation so data pipelines are observable, trustworthy, and easy to operate.Anticipate and address data governance, privacy, and compliance requirements, ensuring data is handled and accessed appropriately.
Qualifications
Required Qualifications:
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineeringOR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineeringOR 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:
4+ years of experience working as a Data Engineer, Software Engineer (data-focused), or in a similar role building production data systems.Strong experience designing and operating data pipelines for large-scale, product or telemetry data.Proficiency with SQL and at least one general-purpose programming language such as Python, C#, or Scala.Experience with data modeling, ETL/ELT workflows, and building analytics-ready datasets.Hands-on experience ensuring data quality, reliability, and pipeline observability.Ability to work cross-functionally and communicate clearly with both technical and non-technical partners.Experience supporting experimentation platforms or metrics frameworks.Experience enabling AI/ML workflows in product environments.Exposure to privacy‑ and compliance‑aware data systems at global scale.Demonstrated ability to influence product decisions through data design.
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Data 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.