Data Engineer II- Windows Servicing & Delivery Update Platform team

MicrosoftRedmond, WA
$102,100 - $219,200

About The Position

Join the Update Platform team within Microsoft's Windows Servicing & Delivery organization as a Data Engineer II. This role focuses on leveraging data to assess product quality, identify potential issues before they impact a broad customer base, and generate insights to enhance Windows update experiences. You will go beyond building data pipelines to determine how data can validate product behavior, improve quality, inform product decisions, and deliver measurable customer outcomes. Collaborate with engineering, product, and quality partners to build reliable data solutions, define key product metrics, and translate complex data into actionable insights. Opportunities exist 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. Employees at Microsoft foster a growth mindset, innovate to empower others, and collaborate to achieve shared goals, guided by values of respect, integrity, and accountability to create an inclusive culture.

Requirements

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering.
  • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering.
  • OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
  • Experience designing, building, and supporting scalable data-processing solutions using Azure Data Factory, Azure Data Explorer, Power BI, or comparable technologies.
  • Proficiency with one or more data engineering or software-development languages, such as SQL, KQL, Python, Scope, C#, or another object-oriented programming language.
  • Experience using telemetry, analytics, testing, or validation signals to assess product quality, identify issues, and inform product improvements.
  • Experience defining and monitoring product-quality metrics or KPIs and translating data into actionable insights for engineering or product decisions.
  • Experience or exposure in quality assurance, software testing, validation, product analytics, or another discipline that complements data engineering.
  • 1+ year(s) of experience with data governance, data compliance, and/or data security.
  • Experience creating data visualizations and communicating technical insights to technical and nontechnical audiences.
  • Experience with Git, Azure DevOps, or another source-control and engineering-workflow system.

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.
  • Create dashboards, reports, and other analytical experiences that communicate insights effectively to technical and nontechnical audiences.
  • Follow applicable data-management, privacy, security, access-control, and compliance requirements.
  • Collaborate across disciplines to help ensure that Windows updates provide secure, reliable, and high-quality customer experiences.

Benefits

  • Certain roles may be eligible for benefits and other compensation.
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