Overview
With continued growth in digital data and the opportunity to use that data to measure in-production quality, Microsoft’s Windows Servicing & Delivery organization is looking for a data- and quality-minded engineer to help address challenges that affect customers around the world.
Join the Update Platform team and help shape experiences that reach billions of customers every day. The team is responsible for supporting the seamless delivery and integration of software updates so that customers remain current, secure, and protected.
As a Data Engineer II on the Update Platform Insights team, you will use data to assess product quality, identify potential issues before they reach a broad customer population, and generate insights that help improve Windows update experiences. This role extends beyond building data pipelines. You will help determine how data can be applied to validate product behavior, improve quality, inform product decisions, and deliver measurable customer outcomes.
You will collaborate with engineering, product, and quality partners to build reliable data solutions, define meaningful product metrics, and translate complex data into actionable insights. You will also have opportunities to apply modern technologies and engineering practices to improve the efficiency, intelligence, and reliability of Windows update processes.
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.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data assets that support product-quality measurement, validation, and decision-making.
- Transform and integrate data from multiple sources into formats that can be reliably consumed by downstream systems, reports, analytical tools, and engineering workflows.
- Implement processes to extract, validate, and monitor data to help ensure that data assets are accurate, complete, reliable, and appropriately governed.
- Use telemetry and other product signals to assess product behavior, identify quality concerns, and generate insights that guide engineering and product improvements.
- Develop metrics and measurement frameworks that connect technical performance, product quality, and customer outcomes.
- Investigate patterns, form conclusions, and translate data into actionable recommendations for engineering and product partners.
- Partner with stakeholders to understand data and business requirements and contribute to designs for data flow, storage, access, and consumption.
- Apply a validation and quality mindset across the full lifecycle of data solutions, from source data and pipelines to the product decisions supported by the resulting insights.
- Creat
