Data Engineer II

Are you looking for an opportunity to join a team of engineers in positively affecting the experience of every consumer who uses Microsoft products? The CIX (Consumer Identity Experiences) team in the Windows+Devices group is focused on building client experiences and services that light up Microsoft Account experiences across all devices and platforms. We are passionate about working together to build delightful and inclusive account experiences that empower customers to get the most out of what Microsoft has to offer.

The CIX team is responsible for driving innovation for new marquee user interfaces used by Windows customers around the world.  We’re looking for a collaborative, inclusive and customer obsessed engineer to help us build the future of Windows Authentication experiences like Passkeys as well as engage with our customers by building experiences to help users keep their account secure and connected across multiple devices and applications.

We're looking for an enthusiastic Data Engineer II to help us build and deliver business Intelligence through data for experiences across 1.5 billion Windows devices and various Microsoft products. Your responsibilities will include working closely with a variety of teams such as Engineering, Program Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, and setup data pipelines to identify insights and experiment ideas that moves our business metrics.  We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved.

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.

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
• Proven coding and debugging skills in C#, C++, Java, or SQL.
• Ability to work and communicate effectively across disciplines and teams.
• Familiarity with distributed data processing and analysis, such as Map-Reduce or Apache Spark.
• 4+ years of professional software development experience.
• Proven design and problem-solving skills, with an emphasis on quality and engineering excellence.

Preferred Qualifications

• 4+ years of experience in engineering.
• Understanding and experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer, Power BI, PowerApps, Hadoop, YARN, Apache Spark.
• Excellent analytical skills with systematic and structured approach to software design.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Enable the Windows, Developers, and Experiences team to do more with data across all aspects of the development lifecycle. 
• Contribute to a data-driven culture as well as a culture of experimentation across the organization.
• Provide new and improve upon existing data platform offerings with a fundamental understanding of the end-to-end scenarios.
• Collaborate with partner teams and customers to scope and deliver projects.
• Authoring and design of Big Data ETL pipelines in SCOPE, Scala, SQL, Python, or C#. 
• Data extraction across a wide variety of data sources. 
• Data cleaning, preprocessing, and transformation for further analysis by data analysts. 
• Data Validation framework from source to endpoints ensuring data quality and integrity.