This role pays less than
59%
of similar roles. Most pay
$130,500–$203,009
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$167k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
653 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 617 roles with salary data.
As a Data Engineer II on the Update Platform team, you will join the Windows Servicing & Delivery organization to improve the quality of software updates for global customers. You will design and maintain scalable data pipelines, integrate multi-source data into usable formats, and develop metrics that connect technical performance with product quality. Your daily work involves using telemetry and product signals to identify issues before they reach users while translating complex data into actionable insights for engineering and product partners. To succeed, you must be proficient in tools like Azure Data Factory, Azure Data Explorer, Power BI, or similar technologies. You will also utilize programming languages such as SQL, KQL, Python, Scope, or C# to build reliable solutions while ensuring compliance with data governance, privacy, and security requirements across the entire product lifecycle.
What does a Data Engineer earn?
Median $162000 from 195 postings across 59 companies.
Design, develop, and maintain scalable data pipelines and assets for product quality measurement.
Integrate data from multiple sources into formats usable by downstream systems and engineering workflows.
Implement processes to extract, validate, and monitor data to ensure accuracy and reliability.
Use telemetry and product signals to identify quality concerns and generate actionable insights.
Develop metrics and measurement frameworks connecting technical performance to customer outcomes.
Create dashboards and reports to communicate complex findings to both technical and nontechnical audiences.
Ensure all data solutions comply with privacy, security, and access-control requirements.
What we're looking for
Master's degree in Computer Science, Math, Software Engineering, or related field and 1+ year of experience in data engineering or related fields.
Bachelor's degree in Computer Science, Math, Software Engineering, or related field and 2+ years of experience in data engineering or related fields.
Ability to pass the Microsoft Cloud background check.
Experience designing and supporting scalable data-processing solutions using Azure Data Factory, Azure Data Explorer, Power BI, or comparable technologies (preferred).
Proficiency in one or more data engineering or software-development languages like SQL, KQL, Python, Scope, or C# (preferred).
Experience using telemetry, analytics, testing, or validation signals to assess product quality and inform improvements (preferred).
Experience defining product-quality metrics/KPIs and translating data into actionable insights for engineering or product decisions (preferred).
Experience in quality assurance, software testing, validation, product analytics, or related disciplines (preferred).
Data Engineering
Data Pipelines
Data Lake
Workflow Orchestration
Data Modeling
Database Design
Distributed Systems
Data Governance
Reporting
Dashboards
Root Cause Analysis
Process Automation
Data Integration