About The Position

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.

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • At least 4+ years of BackEnd development experience (designing and working with APIs, databases, etc.)
  • At least 2+ years of experience creating responsive and accessible UI using TypeScript, Angular, RxJS, or equivalent

Nice To Haves

  • Experience with Power BI, Microsoft Fabric, or other BI/analytics tools
  • Experience in data modeling and visualization
  • Experience with LLM-based software or AI/Copilot features
  • Experience building and operating distributed, cloud-based services on Azure

Responsibilities

  • Design, develop, and operate reliable product and platform capabilities for Power BI mobile, Office, Teams, embedded analytics, and extensibility scenarios.
  • Build and evolve developer-facing SDKs, APIs, command-line tooling, packaging flows, and partner integration systems that enable scalable Power BI custom visual and analytics experiences.
  • Develop secure, maintainable services and automation using technologies such as TypeScript, Node.js, C#, .NET, PowerShell, Azure services, and modern web engineering frameworks.
  • Improve CI/CD, release, certification, deployment, and distribution pipelines so teams can ship high-quality customer and partner experiences with confidence.
  • Partner with Software Engineers, PMs, designers, security, service infrastructure, and partner teams to define technical direction, assess trade-offs, and deliver integrated Power BI experiences.
  • Use AI-assisted engineering tools to support code development, test generation, documentation, operational analysis, and modernization of engineering workflows.
  • Contribute technical leadership through design reviews, code reviews, documentation, mentoring, and clear communication of engineering risks and decisions.

Benefits

  • 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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