Member of Technical Staff - Data Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.     

Microsoft AI (MS AI) is seeking an experienced Data Engineer to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in data technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Data Engineering team is responsible for building data platforms that support our work in finetuning and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research teams.    

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.    

By applying to this U.S. New York, New York OR Mountain View, CA OR Redmond, WA position, you are required to be local to the New York OR San Francisco OR Seattle area and in office 3 days a week. 

Required Qualifications: 

• 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 work  
  • OR 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, or data engineering work  
  • OR equivalent experience. 
• 2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of various datastores like RDBMS, key-value stores, etc.   
• 2+ years' experience building data warehouse systems at scale and extensive database knowledge inclusive of data governance, data collectors, fact tables, and historical data process.   

Preferred Qualifications: 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work  
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work  
  • OR equivalent experience.  
• Experience working with data platforms, frameworks, and APIs with the ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.  
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.  
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.  
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.  
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:   

Microsoft will accept applications and processes offers for these roles on an ongoing basis.   

#Copilot #MicrosoftAI

• Build secure and performant AI Platform services that power Copilot.  
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.  
• Ship high-quality, well-tested, secure, and maintainable code.   
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.   
• Enjoy working in a fast-paced, design-driven, product development cycle.  
• Embody our and .