New 
Data Engineer II
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 03, 2025 | |
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OverviewMicrosoft Teams is core to Microsoft's vision for intelligent communications and productivity pane into modern workplace. As the hub for teamwork in Office 365, Microsoft Teams continues to build momentum across collaboration, chat, meetings, and calls, with over 320M monthly active users.We are looking for an experienced Data Engineer II as part of the data engineering team in Redmond, USA, you will grow your skills working on highly scalable systems and the latest technologies, processing petabytes of data daily with Microsoft Fabric, Azure Data Lake and Azure Data Explorer. You will collaborate closely with data science to derive actionable insights and influence our product and growth strategy.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 basic code to extra raw data, validate its quality, and ensure the correct data is ingested across multiple areas of work. You'll also apply standard modification techniques to transform raw data into forms compatible with downstream data sources.Design and maintain assigned data tools that are used to transform, manage, and access data. You'll also write code to validate the storage and availability of data platforms so that they're more resilient.Follow existing documentation to implement performance monitoring protocols across a data pipeline, building basic visualizations and aggregations to monitor pipeline health. You'll also implement solutions and improvements that minimize points of failure across a product feature.Follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams. You'll also govern data accessibility within your assigned pipelines and models. | |