Senior Data Engineer (CoreAI) at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

234700.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Analysis, Software Engineering, Data Modeling, Data Pipelines, Operational Excellence, Customer-Centric Development, Collaboration, Engineering Alignment, Scalable Systems, Data Quality, Security, Privacy, Metrics, Product Innovation, Technical Direction

Industry

Software Development

Description

Overview Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The EngThrive Insights team is responsible for understanding the developer experience. Our mission is to deliver insights that enable Microsoft to be the best place to work as an engineer, where it is fast and easy to do great work. In this role, you will work as a senior engineer supporting the data platform that underpins EngThrive insights. Your responsibilities will include designing and maintaining data pipelines, curating high-quality datasets, performing in-depth data analysis, developing dashboards, and building the data and AI infrastructure that supports these capabilities and our missions. Success in this position requires versatility across multiple domains, including software engineering and data analytics, as well as a strong passion for, and understanding of, the tools and processes that shape the engineering workflow. At Microsoft, our 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 Responsibilities Architect for Scale and Sustainability: Design and evolve durable, scalable system architectures that balance long-term maintainability with short-term delivery needs, making thoughtful engineering trade-offs. Direct Impact: Leads by example and work with others to produce extensible and maintainable code used across the platform. Creates and applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices. Foster Engineering Alignment: Build consensus across engineering teams and partner organizations by driving clarity, alignment, and shared ownership of technical direction. Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation. Champion Customer-Centric Development: Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging—ensuring the voice of the customer shapes product evolution. Operational Excellence: Drive operational excellence in managing and operating large-scale data systems with a high bar for data quality, stability, security and privacy. Set high standards for reliability and performance. Qualifications Required 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 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 3+ years of experience working on data pipelines. 2+ years of experience in leading and driving engineering projects, planning, executing, and overseeing engineering initiatives with a focus on collaboration, efficiency, and achieving key milestones. Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 and maintain data pipelines, curate high-quality datasets, and develop dashboards to support the EngThrive insights team. Drive operational excellence in managing large-scale data systems while ensuring high standards for data quality and stability.