Senior Data Engineer

With the rapid adoption of Windows 365 and Azure Virtual Desktop (AVD) and being recognized as the leader for Desktop as a Service (DaaS) in the Gartner Magic Quadrant™, the Windows Cloud Experience (WCX) team is on an exciting growth trajectory. Join the WCX Data Intelligence team as a Senior Data Engineer, where you will play a pivotal role in driving innovation and growth in the cloud Virtual Desktop Infrastructure (VDI) market.

As part of this visionary team moving Windows client to the cloud, your contributions will be key to revolutionizing the way Windows operates, offering boundless and flexible access to computing and storage resources on any device. Following the successful cloud transformations of Office and Windows Server into Office 365 and Azure respectively, we are poised to redefine Windows with Windows 365.

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

As a Senior Data Engineer on the WCX Data Intelligence team you will be responsible for generating insights, improving quality, and driving impact to core WCX (AVD and W365) scenarios. You will do this through:

• Designing and implementing robust and scalable data systems that enable data-driven decision-making.
• Identifying, modeling, and delivering actionable metrics that directly contribute to measurable improvements.
• Collaborating with cross-functional teams to devise and apply instrumentation, ensuring cohesive data streams.
• Visualizing and articulating complex concepts and insights effectively to stakeholders and team members.
• Ensuring data accuracy and integrity through comprehensive testing and quality assurance.
• Guaranteeing security and data governance.

Embody our Culture and Values

Qualifications

Required Qualifications

• 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 work
  • OR 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 work
  • OR equivalent experience
• Experience in programming languages such as C, C++, C#, Java, JavaScript, Python, or equivalent.
• Experience in databases, data warehousing, and data languages such as SQL.
• Experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Functions, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Databricks, Power BI, or Microsoft Fabric, or the equivalent offerings from similar platforms.

Other Requirements

Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screening

• 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

• Experience in SaaS, application remoting and desktop virtualization.
• Experience defining metrics and designing, implementing, deploying, monitoring, and maintaining ETL/ELT data transformation pipelines.
• Experience creating automatically refreshing dashboards with tools such as Power BI, Tableau, or equivalent, and leveraging them to delivere compelling presentations and self-serve tooling for stakeholders.
• Experience with machine learning, distributed storage and computation platforms such as Spark or PyS