Data Engineer II - Copilot Insights

11/26/2025

Contributes in partnership with stakeholders to determine user requirements and needs for each workstream. Builds scalable and low maintenance data pipelines and dashboards to provide insights into Copilot usage and growth.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

About the Role

Contributes in partnership with appropriate stakeholders (Project Managers, Technical Leads, Applied Scientists, Data Scientists) to determine user requirements and needs for each workstream. Consider a variety of feedback channels to incorporate insights into future designs or solution fixes. Begins to incorporate appropriate continuous feedback loops measuring customer value, usage patterns, and other actionable metrics of value. Builds scalable and low maintenance data pipelines and dashboards to give the organization insights into Copilot usage and growth and enable them to break it down in meaningful ways to draw conclusions and gain insights. Assists and learns about breaking down work items into tasks and provides estimation. 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 1+ year experience building and maintaining data pipelines with large scale data systems using technologies like the following: query language (SQl, Kusto, or Scope), data orchestration systems (like Azure Data Factories or similar technology), and systems for analyzing data (Python, Synapse, or R). 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. - 1+ year experience with data governance, data compliance and/or data security.

Key Skills

Data EngineeringData PipelinesBusiness AnalyticsData ScienceSoftware DevelopmentData ModelingData GovernanceData ComplianceData SecuritySQLPythonAzure Data FactoriesKustoRSynapse