• Data Engineer

    Microsoft Corporation (Redmond, WA)


    Do you have a passion for big data, analytics, insights, and technology? Do you want to directly impact the hundreds of millions of Windows users? Are you passionate about customer focused complex problem solving?

     

    **The WSD Fundamentals & Data Team** is looking for a talented  **_Data Engineer_** who wants to get their hands on large scale and complex data landscape, with deep knowledge of data architecture and management, and distributed systems, who is interested in working alongside Software Engineers to drive business impact and is passionate about enabling data-driven decision-making across the organization.

     

    You will be joining a great team of awesome engineers that move fast and innovate. You will help us build optimized data pipelines to scale from hundreds of millions of events per day to billions.  If your toolbox includes proficiencies in **Big Data, Azure Data Factory, Cloud Data Architecture, Data analytics and reporting, Synapse, Data Warehouse and SQL** we would love to apply your data expertise to have real world impact.

     

    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

    + Implement scalable and performant data models, data pipelines, data storage, management, batch ingestion and transformation solutions for real-time decisioning, reporting, data collecting, and related functions.

    + Develop application components and services to support data related processes, presentation, and consumption.

    + Troubleshoot and resolve issues related to data processing and storage.

    + Contributes to efforts to break down larger work items into smaller work items and provides estimation.

    + Remains current in skills by investing time and effort into staying abreast of latest technologies.

    + Considers testability, monitoring, reliability, performance and maintainability to develop solutions for quality validation and continuous improvement.

    + Use large data sets to provide insight into business and functional issues while improving data reliability, efficiency, and quality.

    + Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

    Qualifications

    Required/Minimum Qualifications

    + Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years' experience in business analytics, data science, data modeling or data engineering work

    + OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field

    + OR equivalent experience.

    + 2+ years of experience in data engineering with proven coding and debugging skills in **C#.**

    + 2+ years of experience in writing queries using **SQL, KQL, Scope script.**

    + 2+ years and experience with data cloud computing technologies such as – **Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer, Power BI.**

    Additional Or Preferred Qualifications

    + 5+ years of experience in data engineering with proven coding and debugging skills in **C#.**

    + 5+ years of experience in developing solutions with **Microsoft Power Platform** , including **Power BI** , and **Power Automate** .

    + Experience with extracting and handling data with **REST APIs** , messaging and event technologies.

    + Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, scalability and security.

    + Experience building and optimizing large-scale data processing, integration and storage.

    + Analytical skills with a systematic and structured approach to software and data design.

    + Problem solving, design, and implementation skills

     

    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.

     

    Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 and processes offers for these roles on an ongoing basis.

     

    \#W+Djobs

     

    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) .