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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.
Job Responsibility:
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
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
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
equivalent experience
Nice to have:
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
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
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