Software Engineering II

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 age of AI, powering a new class of data-first applications and driving a data culture.

Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture.

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 age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Fabric Data Analytics, Insights, and Curation team is leading the way at understanding the Microsoft Fabric composite services and empowering our strategic business leaders. We work with very large and fast arriving data and transform it into trustworthy insights. We build and manage pipelines, transformation, platforms, models, and so much more that empowers the Fabric product. As an Engineer on our team your core function will be Software Engineering with opportunities in Analytics, Science, Data Engineering, DEVOps, and Cloud Systems. You will be working alongside other Engineers, Scientists, Product, Architecture, and Visionaries bringing forth the next generation of data democratization products. 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.

1. You will develop and maintain data pipelines, including solutions for data collection, management, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training. 2. You will review, design, and implement end-to-end software life cycles, encompassing design, development, CI/CD, service reliability, recoverability, and participation in agile development practices, including on-call rotation 3. You will review and write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and self-healing processes that minimize points of failure across multiple product features 4. You will plan, implement, and enforce security and access control measures to protect sensitive resources and data 5. You will develop software which makes our data engineers, analysts and scientists more efficient in handling large scale data. 6. You will collaborate with Product Managers, Data and Applied Scientists, Data and Quality Engineers, and other stakeholders to understand data requirements and deliver phased solutions that meet test and quality programs needs, and support AI model training and inference 7. You will work in creating, managing, improving AI based workflows.

Embody our culture and values

Required/Minimum Qualifications

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.