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Job Details
Posted date: Jan 20, 2026
There have been 38 jobs posted with the title of Senior Data Engineer all time at Microsoft.There have been 38 Senior Data Engineer jobs posted in the last month.
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
OverviewMicrosoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.
Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft’s core cloud platforms and services that millions of people use every day. With more than 95% of Fortune 500 business on Azure, 180 million using Office 365, and millions using other services – all running on Microsoft's cloud infrastructure – CO+I builds and operates the foundation upon which Microsoft’s mission to empower every person and organization comes to life.
Are you passionate about cloud computing? Do you get excited about taking a hands-on approach to transforming Microsoft’s most critical business through investigation, data analysis, and automation? If so, come and help us build the most reliable & efficient datacenter infrastructure on the planet. The CO+I Critical Environment Systems Intelligence (CESI) team is responsible for designing and delivering solutions to support global datacenter operations and to improve availability. CESI is helping to drive CO+I’s transition to a customer centric, data driven, live service culture. As a Senior Data Engineer, you will be a key player in this transition.
As a Senior Data Engineer on the CO+I Critical Environment Service Intelligence (CESI) team, you will design and deliver the data platforms and tooling required to programmatically understand which customers are impacted by changes occurring within our data centers. This work enables clear, datadriven visibility into customer impact resulting from both planned and unplanned infrastructure events.
You will partner closely with multiple CO+I teams, as well as Azure, Exchange, Bing, and other firstparty services, to model, integrate, and deliver this capability at scale. A successful candidate will apply strong data engineering fundamentals—data modeling, pipeline design, automation, and lowlatency processing—while leveraging domain knowledge across data center infrastructure capacity, service management, customer experience (CXP), containers, cloud services, shared responsibility models, and geo and zoneredundant architectures.
Through this work, you will help establish a clear source of truth for ownership of data center assets and their relationships to customerfacing services, enabling accurate, timely assessment of customer impact during outages and other operational events. The solutions you build will operate over large, complex datasets and directly inform operational decisionmaking across the fleet.
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
As a Senior Data Engineer, you will:
Deliver a data-driven solution to map from servers (and clusters) to their responsible First Party owners and services by exposing leaps of logic that don't explicitly exist between systems
Develop automations to appropriately calculate risk of impact to customers during an outage in collaboration with responsible parties and Azure Customer Experience.
Perform thorough data analysis and testing to identify data gaps and ensure data quality.
Work closely with application, data platform, and data engineering teams to reconfigure data ingestion pipelines to be more reliable and continuously monitored.
Partner with engineering teams to publish easy-to-consume, production-quality data assets
Qualifications
Required/Minimum 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 engineering OR 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 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:
6+ years of strong hands-on experience with Data Analytics applications. (SQL, Kusto, Hadoop, or equivalent large data system).
2+ years of hands-on experience creating and leveraging data visualization platforms (Power BI, Tableau, etc).
Experience working with large data sets using SQL/Azure Data Lake/Spark, etc., to derive actionable insights is highly desirable.
Familiarity with one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Python, JavaScript, PowerShell.
Experience with reporting and data analysis systems & platforms (e.g., Power BI, SAP, CRM, Dynamics 365, etc.).
Demonstrated experience producing executable and measurable results; focused on delivering impact and identifying, managing, and mitigating risks.
Demonstrated technical problem solving and excellent analytical, verbal, written, interpersonal communication skills with attention to detail.
Ability to communicate with a broad range of audiences with varying technical abilities and to use data as a story-telling device.
Ability to effectively deal with ambiguity and work independently to derive actionable solutions.
Ability to successfully influence without authority and manage efforts through relationships.
Ability to promote a collaborative environment and bring a positive attitude to difficult situations.
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.
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