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 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. We are hiring a Senior Software Engineer who is proficient across multiple layers of the technology stack to design, build, and scale core capabilities across our distributed data platform. In this role, you will contribute to platform reliability, system performance, service scalability, and developer experience. As part of the App and Data Development team within Microsoft Fabric, you will help empower application and data developers by building cutting‑edge tools and AI‑assisted capabilities that streamline and accelerate development workflows. Through unified interfaces, robust APIs, and intelligent features, you will enable developers to create, manage, and scale data‑driven applications efficiently across the Microsoft Fabric ecosystem. 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.
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Job Type
Full-time
Career Level
Mid Level