Data Governance Engineer

Microsoft AI (MAI) is seeking an experienced Data Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems 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 Data Integrations team is responsible for building core integration pipelines that help introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.  

Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. 

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

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc. 
• 2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  
• 2+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.  

Preferred Qualifications:

• 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.  
  
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  
  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Software 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

Microsoft will accept applications for the role until July 2, 2025.

#MicrosoftAI #Copilot

• Possess superior coding skills in C# or Java or Python.
• Build tools in the areas of data security, privacy and governance products in distributed data, cloud platform environments.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation automated data governance systems.
• 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 Culture and Values.