Job Number
1970324837007744-en-3
Overview
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 (MAI) is seeking an experienced Data Engineer to join the product team and contribute to the evolution of Copilot, our personal AI assistant. In this role, you will manage critical data pipelines and systems that drive the evaluation, growth, and feature development of Copilot. While familiarity with backend engineering, large language models (LLMs), and machine learning models is preferred, we welcome candidates with broad data engineering experience and a passion for solving dynamic AI challenges.
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 position, you are required to be local to the area and in the office 3 days a week.
Responsibilities
Build Data Pipelines: Extract, validate, and transform raw data for analytics, modeling, and downstream services.
Design and Deliver Scalable Infrastructure: Architect, implement, and optimize data workflows (real-time and batch) using Spark and Azure-native solutions.
Orchestration: Build robust tooling with with Airflow, Docker, CI/CD, Kubernetes, and Conda.
Collaborate Across ML and DS: Partner with machine learning engineers and data scientists to align pipeline outputs with research goals, feature engineering, and model development.
Show Ownership Mindset: Proactively monitor systems, configure alerts, and remediate breakages early. Anticipate scalability challenges and address them before they become bottlenecks.
Contribute Strategically: Identify architectural gaps, suggest improvements, and mentor others on building sustainable pipeline ecosystems.
Qualifications
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, data modeling or data engineering work
OR equivalent experience.
3+ years of experience shipping product at scale
Preferred Qualifications:
Familiarity with backend engineering, large language models (LLMs), and machine learning models
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.
#copilot #MicrosoftAI
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: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until 09/24/2025.
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
