Data Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

199000.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Azure Synapse, Data Factory, GenAI, Data Governance, Data Compliance, Data Security, Business Analytics, Data Science, Software Development, Data Modeling, AI/ML Workflows, Telemetry, Business Intelligence, Collaboration, Continuous Improvement

Industry

Software Development

Description

Overview 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. 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. Qualifications Required Qualifications: 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. Preferred Qualifications: 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. Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design, build, and optimize data solutions including data pipelines and models. Collaborate with various teams to deliver secure and scalable data platforms.