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Job Details
Posted date: Dec 16, 2025
There have been 25 jobs posted with the title of Data Engineer all time at Microsoft.There have been 25 Data Engineer jobs posted in the last month.
Category: Data Engineering
Location: Redmond, WA
Estimated salary: $158,000
Range: $100,600 - $215,400
Employment type: Full-Time
Work location type: 3 days / week in-office
Role: Individual Contributor
Description
OverviewWhat a time to join Microsoft! The Office of the Chief Economist, Corporate Vice President, works across the company to pursue commercial value using economics and data science. Examples of our work include algorithms that grow Microsoft’s cloud revenue and resource efficiency; some of the first-ever studies of how Artificial Intelligence (AI) changes the way that people work; and market design for software resellers.
We are looking for a Data Engineer with broad technical skills, communication finesse, and the ability to quickly prototype proof-of-concept web apps. You will work alongside world-class colleagues on high-visibility projects answering some of Microsoft’s most pressing challenges. You will support your team through reliable data pipelines, data quality monitoring, and good MLops practices.
We operate primarily on Microsoft Fabric, using Spark, python, and SQL. Some of us use R for analysis, others write fully fledged Batch jobs or prototype webapps in typescript. Given the cross-cutting nature of our work, we often need to merge data from different sources and datalake generations. You will have substantial freedom in choosing the best tools to get the job done.
Successful candidates plan ahead to build dependable pipelines and infrastructure. They can explain complexity and find pragmatic shortcuts without jeopardizing overall architecture. They enjoy learning not just about ways to move data around, but also what the data means. They collaborate with data scientists and economists to deliver impact, whether through one-off decision support for high-stakes business decisions or through innovating new apps and processes.
Our team values entrepreneurship, craftsmanship, and continuous learning. You will be able to shape and grow a positive and productive data engineering culture.
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.
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
Build and maintain reliable data pipelines, including observability and data quality monitoring.Promote good engineering and MLops practices in your team.Further the team’s understanding of business data and the processes behind it.With the team, build a robust product that makes data, econometrics, and machine learning (ML) useful for deal teams in the field.Embody our Culture and Values.
Qualifications
Required/minimum qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experienceOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience.Additional or preferred qualificationsDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience.2+ years of experience with query systems such as SQL or Spark, and management platforms such as Fabric, Databricks, SQL Server or Cosmos.1+ years of experience running data engineering for production-grade machine learning systems. Ideally in a modern cloud stack, including serverless methods.1+ years of experience prototyping webapps (whether fully in typescript, or sim-my in python streamlit).Experience with Sales processes.Demonstrated experience leveraging your skills using AI.
Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.
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