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 fast-paced, cross-functional environments, bring fresh 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, innovation, agility, and transparency — and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence.
Responsibilities
As a Software Engineer II 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 kickstart and grow your career with deep hands-on exposure to Microsoft technologies, while developing your software engineering skills in an inclusive, growth-oriented environment.
Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services.
Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.
Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations.
Implement robust monitoring, logging and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions.
Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences.
Contribute to the evolution of Microsoft’s data platforms through technical feedback and innovation.
Champion a culture of diversity, inclusion, customer obsession, and continuous learning.
Qualifications
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.
Preferred Qualifications
Exposure to Microsoft Azure or other cloud platforms (GCP, AWS).
Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows.
Understanding of version control systems (e.g., Git) and DevOps practices.
Power Automate / Azure Logic Apps – Automate light data movement or trigger workflows.
API Development & Consumption – Integrate external datasets into Microsoft solutions.
Curiosity, collaboration mindset, and a passion for solving real-world customer problems.
5+ years of strong programming skills in one or ideally more languages:
Core Development
C# / .NET Core – Back-end services, Azure Functions, enterprise APIs.
TypeScript / JavaScript – Front-end development, SPFx for Teams/SharePoint, custom Power Apps components.
DAX – Power BI measures and modeling.
Power Fx – Power Apps logic and advanced formulas.
T-SQL – Querying and shaping data from Azure SQL, Synapse, or Fabric Warehouse.
HTML/CSS – UI customization and responsive layouts.
Light Data Engineering
Power Query / M Language – Transform data in Power BI, Fabric Dataflows, or Data Marts.
Fabric Data Pipelines – Basic ingestion/transformation from common sources (Dataverse, SharePoint, Azure SQL, REST APIs).
Python – Light ETL or data cleanup in Fabric Notebooks or Azure Functions.
Synapse Serverless SQL – Create/modify views or small transformations.
Data Modeling Principles – Star/snowflake schema and semantic layer creation.
Azure Storage Basics – Work with Azure Data Lake Gen2 for file-based data.
Business fluency in English to read, write, and speak.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's Degree in Computer Science or related technical field
- 2+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python (or equivalent experience)
- Exposure to Microsoft Azure or other cloud platforms (GCP, AWS)
- Familiarity with AI/ML fundamentals and tools (Azure ML, OpenAI, Cognitive Services)
- Understanding of version control systems (Git) and DevOps practices
- Power Automate / Azure Logic Apps experience
- API development and consumption experience
- 5+ years strong programming skills in one or more languages and frameworks (C#/.NET Core, TypeScript/JavaScript, DAX, Power Fx, T-SQL, HTML/CSS)
- Light data engineering skills (Power Query/M, Fabric Data Pipelines, Python for ETL, Synapse Serverless SQL, data modeling)
- Familiarity with Azure Data Lake Gen2 and Fabric Notebooks
- Business fluency in English (read, write, speak)
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
-
Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
-
Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
-
Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
