"Alerted.org

With continued growth in digital data and the desire to **leverage data to measure in-production quality and address problems** that touch all aspects of our lives, Microsoft’s **Windows Servicing & Delivery Org** is looking for **a data engineer with both a data and quality focused mindset to meet these challenges!** The **Update Platform Team** impacts billions of customers everyday- our team is responsible for ensuring the seamless delivery and integration of software updates and keeping our customers up-to-date and secure at all times.

As a member of the **Update Platform Insights team** , you will be at the forefront of leveraging data to assess the quality of the product, detect issues before they reach broad customer application to assure top product quality for partners and customers alike while keeping billions of devices secure and up-to-date.

In this exciting **Data Engineer II** role, you'll work with a diverse group of talented professionals, innovate for greater platform efficiency as well as leverage the latest technologies and best practices to streamline our update processes with timely in-depth insights and intelligent features.

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

+ **Data Management and Transformation:** With guidance, you will apply modification techniques to transform raw data into compatible formats for downstream systems. Utilize software and computing tools to ensure data quality and completeness. Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability.

+ **Quality Through Data Fundamentals:** You will be an integral part to our efforts in driving product quality improvements through data and insights. You will help refine our approach to data-focused quality assurance and set standards that improve our approach to validating the product and detecting customer pain points before customers do, turning the efforts into a part of our Insights Engineering System.

+ **Data Requirements and Modeling:** You will collaborate with stakeholders to document and understand data requirements. Evaluate project plans to assess data costs, access, and availability. Draft design specifications to model data flow and storage, ensuring data is easy to connect and manage.

+ **Compliance:** You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams. You’ll also learn about permissions and approvals for data access within a data pipeline.

+ **Validation and Quality Mindset:** You will apply and use operational fundamentals to validate and ensure quality of the product as well as the underlying data pipeline and assets to secure trustworthiness in your data daily.

+ **Customer Focus:** Be driven by a focus on customer happiness and success. We as a team only succeed if our customers are secure and protected via the updates we deliver.

+ Embody our culture and values

Qualifications

Required 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 work

+ 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, or data engineering work

+ OR equivalent experience

+ 2+ years experience in roles or environments focused on quality, including but not limited to quality assurance, automation engineering, or data-driven quality assurance and validation, with a **demonstrated ability to leverage data to assess and measure quality, detect issues, and ensure the highest standards of quality**

+ 2+ years Industry experience with building large data processing frameworks using technologies like Azure Data Factory, Azure Data Explorer, PowerBI and/or other public and Microsoft internal tools.

+ 2+ years experience with scripting and coding languages with a focus on data engineering, like SQL, KQL, python, Scope, C# (or similar object-oriented languages) and others.

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:

+ Bachelor's Degree in Computer Science , Math, Software Engineering, Computer Engineering , or related field AND 5+ years experience in business analytics, data science, software development, data modeling or data engineering work

+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering , or related field AND 3+ years of business analytics, data science, software development, data modeling or data engineering work experience

+ OR equivalent experience.

+ 4+ years experience in roles or environments focused on quality, including but not limited to quality assurance, automation engineering, or data-driven quality assurance and validation, with a demonstrated ability to leverage data to assess and measure quality, detect issues, and ensure the highest standards of quality

+ 4+ years Industry experience with building large data processing frameworks using technologies like Azure Data Factory, Azure Data Explorer, PowerBI and/or other public and Microsoft internal tools.

+ 4+ years experience with scripting and coding languages with a focus on data engineering, like SQL, KQL, python, Scope, C# (or similar object-oriented languages) and others.

+ Experience with Quality and validation strategy design.

+ Experience with customer listening systems.

+ Demonstrated customer focus with a quality mindset that drives and enables high partner and customer confidence.

+ Experience with Git, ADO or equivalent Source Control Systems.

+ Experience with data visualization tools and how to effectively communicate Insights to consumers of varying types of audiences.

+ Experience leveraging AI to define and evaluate quality standard.

+ Demonstrated ability to effectively communicate and collaborate in cross team, cross function environments.

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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

Microsoft will accept applications for the role until May 25, 2025.

\#W+Djobs #WSDJobs #QualityThroughData #HighImpact

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .