New 
Senior Software Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 22, 2025 | |
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OverviewIf you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team offers a platform for professional growth. This team plays a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft's success in the evolving AI landscape. We are looking for a Senior Software Engineer who can lead the design and implementation of scalable data solutions, mentor other engineers, and collaborate across teams to deliver strategic insights. This role is ideal for experienced engineers who are ready to take on technical leadership and influence the direction of our data platform. 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.
ResponsibilitiesLead the design, development, and deployment of data pipelines and services. Write high-quality, maintainable, and well-tested code in languages such as C#, Java, or C++. Use scripting languages (e.g., Python, PowerShell) to automate data workflows and operational tasks. Collaborate with cross-functional teams to define technical requirements and drive architectural decisions. Mentor engineers and contribute to team growth and best practices. Apply technical expertise to solve challenging data engineering problems at scale. | |