Software Engineer

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Are you ready to shape the future of how Microsoft operates its ~$250B+ business portfolio? Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a strong sense of ownership to your work?

The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business — and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, Sales, Marketing, Business Operations, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in cross-functional environments, bring innovative thinking to complex problems, and be eager to learn to take ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence. At FD&E, we foster a culture of customer centricity, agility, and transparency, and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence.

As a Software Engineer at Microsoft, you’ll be part of a team of world-class engineers leveraging cutting-edge Microsoft Cloud and AI technologies to deliver modern, scalable, and intelligent systems that drive the Microsoft business forward. This is a unique opportunity to grow your career with deep hands-on exposure to Microsoft technologies, while developing your software engineering skills in an inclusive, growth-oriented environment.

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 discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python,
  • OR equivalent experience.
• 1+ year(s) of experience programming in one or more of the following: SQL, SSAS, Python, Spark, or Scale.
• 1+ year(s) of experience applying analytical techniques and structured design methods to develop software solutions.

Preferred Qualifications

• Familiarity with finance data structures and business reporting rhythms.
• Exposure to Microsoft Azure or other cloud platforms (e.g., GCP, AWS).
• Understanding of AI/ML fundamentals and tools such as Azure ML, OpenAI, or data analytics workflows.
• Knowledge of version control systems (e.g., Git) and DevOps practices.
• Experience building cloud services on Microsoft Azure.
• Experience working in Agile or iterative development environments.
• Ability to clearly communicate technical concepts across cross-functional teams.

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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 for the role until July 3, 2025.

• Designs, develops, deploys, and operates scalable cloud-based data, analytics, automation, and tooling solutions using modern data platforms and cloud services, while integrating AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.
• Implements and maintains robust engineering practices across design, development, and release processes to ensure services are delivered accurately, safely, and efficiently. Leverages telemetry, analytics, and flighting strategies to understand customer impact and continuously improve service quality.
• Collaborates across teams to solve complex problems, working with client partner teams to deliver cohesive end-to-end experiences, providing technical feedback to product engineering partners, and applying sound engineering principles to drive innovation and service maturity.

• Leverages GitHub Copilot to auto-generate boilerplate code for data pipelines, SQL transformations, and Spark jobs, significantly reducing development time for repetitive tasks.

• Accelerates development workflows by leveraging GitHub Copilot to auto-generate boilerplate code for data pipelines, SQL transformations, and Spark jobs—reducing time spent on repetitive tasks and enabling rapid prototyping of data engineering solutions such as window functions, partitioning strategies, and schema evolution logic.
• Improves code quality and maintainability by using Copilot to enforce consistent coding patterns across ETL scripts and data models, while also generating docstrings, inline comments, and unit tests to enhance readability and test coverage.
• Fosters a culture of AI-assisted development by sharing Copilot-generated snippets and best practices with the team, promoting continuous learning and collaborative improvement.