New 
Data Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 May 10, 2025 | |
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OverviewDo you have a passion for big data, analytics, insights, and technology?Do you want to directly impact the hundreds of millions of Windows users? Are you passionate about customer focused complex problem solving? TheWSD Fundamentals & Data Team is looking for a talented Data Engineer who wants to get their hands on large scale and complex data landscape, with deep knowledge of data architecture and management, and distributed systems, who is interested in working alongside Software Engineers to drive business impact and is passionate about enabling data-driven decision-making across the organization. You will be joining a great team of awesome engineers that move fast and innovate. You will help us build optimized data pipelines to scale from hundreds of millions of events per day to billions. If your toolbox includes proficiencies in Big Data, Azure Data Factory, Cloud Data Architecture, Data analytics and reporting, Synapse, Data Warehouse and SQL we would love to apply your data expertise to have real world impact.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesImplement scalable and performant data models, data pipelines, data storage, management, batch ingestion and transformationsolutionsfor real-time decisioning, reporting, data collecting, and related functions. Develop application components and services to support data related processes, presentation, and consumption. Troubleshoot and resolve issues related to data processing and storage. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Remains current in skills by investing time and effort into staying abreast of latest technologies. Considers testability, monitoring, reliability, performance and maintainability to develop solutions for quality validation and continuous improvement. Use large data sets to provide insight into business and functional issues while improving data reliability, efficiency, and quality. Embody our Culture and Values | |