Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the emergence of AI, powering a new class of data-first applications and driving a data culture.

​​Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.​

​​The Fabric Data Engineering Experience & Infrastructure team is hiring to help build world best Data Engineering and Data Science platform. You will help implement advanced capabilities designed to help Data Engineers and Data Scientists to achieve more through Microsoft Fabric.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities:

​​As an engineer, you will have the opportunity to work on the latest technology in big data areas, and build world class Big Data Analytics experience for cloud customers:

• Design and develop world-class experience for new big data cloud offering
• Plan, schedule and deliver quality software incrementally
• Review changes to product codebase and provide constructive feedback that align with industry practices
• Maintain and operate cloud online services
• Passion and experience for building powerful developer experience and user experience of modern analytics systems
• Have a deep desire to work collaboratively, solve problems with teams across the world and celebrate successes ​

Qualifications:

• Bachelor’s degree in computer science, or related technical discipline AND substantial experience in industry software engineering experience
• Substantial experience in programming as data scientist.

​​Preferred Qualifications:

• Software development experience building Machine Learning and Data Science platforms, including model training, experimentation, evaluation, and deployment workflows (e.g., experiment tracking, model registry, feature management)
• Hands‑on experience with machine learning lifecycle management, including CI/CD for ML, model versioning, reproducibility, monitoring, and rollback strategies in production environments

Additional Qualifications:

• Familiarity with modern machine learning frameworks and libraries, such as Mlflow as a plus
• Experience with building on top of cloud platform like Azure/AWS/Google Cloud as a plus​

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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.