New
Software Engineer
![]() | |
![]() United States, Washington, Redmond | |
![]() | |
OverviewMultiple Positions Available! If 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 multiple Software Engineers (Software Engineer II & Senior Software Engineer) who are ready to take ownership of features, collaborate across teams, and contribute to the development of scalable data solutions. These role are ideal for engineers who are looking to further their technical skills and make a broader 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.
ResponsibilitiesDesign, implement, and maintain data pipelines and services that support analytics and reporting needs. Write clean, maintainable, and well-tested code in languages such as C#, Java, or C++. Use scripting languages (e.g., Python, PowerShell) to automate data processing and operational tasks. Collaborate with team members and stakeholders to define technical requirements and deliver solutions. Participate in code reviews, design discussions, and team planning activities. Apply best practices in software development and data engineering. |