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 on 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 Azure Data Analytics team builds the core analytics experiences in Microsoft Fabric. We own the Data Warehouse, Data Engineering, Data Science, AI, and Power BI workloads, enabling customers to ingest, transform, analyze, and derive insights from structured, semi-structured, and unstructured data at enterprise scale. Our team is at the center of Microsoft's strategy to deliver a seamless, end-to-end analytics experience in Fabric. Our group leads the development of Power BI Custom Visuals, Power BI Mobile apps, and Office integrations, bringing analytics experiences directly into users' everyday workflows across devices and platforms. We are looking for a Software Engineer II who is passionate about building reliable, secure, and scalable product experiences and platform capabilities. This role is well suited for an engineer who enjoys owning well-scoped end-to-end features, building production services and developer tooling, improving release and deployment systems, and partnering across engineering, product, and partner teams. In this role, you will contribute to Power BI experiences and extensibility platforms that serve Microsoft, customers, and partners at scale. You will help design and build services, SDKs, tooling, CI/CD systems, deployment workflows, and operational capabilities that support custom visuals, certification flows, marketplace distribution, Power BI clients, and Office and Teams integrations. You will also use AI-assisted engineering tools to improve development velocity, documentation quality, test coverage, and operational insight.
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Job Type
Full-time
Career Level
Mid Level