Data Engineer

Microsoft • Redmond, WA

4h

About The Position

Join Microsoft’s Microsoft 365 Growth + Experiences FastTrack Data Engineering team, the architects behind MIDAS (Microsoft Intelligent Data Analytics System)—the backbone powering 30+ business applications, self-service analytics, and AI-driven insights. Our mission is to deliver a single source of truth and version for data, eliminating redundancies and duplications by applying FastTrack’s unique business rules centrally. This unified approach transforms traditional deployment experiences into reliable, data-driven, personalized, automated, AI-powered onboarding services for delivery and partner personas. As a Data Engineer, you’ll design, build, and optimize data solutions—including but not limited to transactional and star/snowflake data models, data engineering pipelines —that accelerate customer success, enable M365 Copilot and E5 solution deployment and adoption, and support strategic decision-making across the Microsoft ecosystem. You’ll thrive in a collaborative, growth-mindset environment, partnering with engineering, product, delivery, partner, and business teams to deliver secure, scalable, and innovative data platforms. 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.

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.

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.
• 1+ year(s) experience with data governance, data compliance and/or data security.
• Experience with Microsoft data stack (Azure, Fabric, Synapse, Data Factory, Databricks, Power BI, GenAI, Copilot, Agent).
• Knowledge of AI/ML/GenAI data workflows and analytics.
• Exposure to large-scale telemetry, customer health, enterprise data platform/warehouse or business intelligence systems.
• Demonstrated growth mindset and commitment to diversity and inclusion.

Responsibilities

• Design & Develop: Build and optimize data pipelines, models, and storage solutions using technologies like SQL, Azure Synapse, Fabric, Data Factory and GenAI.
• End-to-End Ownership: Align discrete tasks into complete technical solutions for data ingestion, transformation, and provisioning.
• Collaboration: Work closely with PMs, software engineers, and business stakeholders to deliver secure, scalable, and efficient data solutions.
• Quality & Testing: Implement unit and integration testing, CI/CD pipelines, and ensure compliance with security and privacy standards.
• Continuous Improvement: Review module/feature issues, identify opportunities for optimization, and proactively resolve problems before they escalate.
• Documentation: Create design documents, data models, and operational runbooks for maintainability and transparency.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees