Microsoft AI (MAI) is seeking an experienced Data Engineer to join the Growth team and contribute to the evolution of AI systems, with a focus on the personal AI assistant, Copilot. In this role, you will manage critical data pipelines and systems that drive the intelligence behind our products.
Requirements
- Azure Tech Stack Familiarity: Demonstrate proficiency with tools and services within the Azure ecosystem, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics, and Azure Machine Learning.
- Feature Storage Management: Manage feature storage systems and develop real-time streaming pipelines for low-latency data processing, using tools like PySpark or similar.
Responsibilities
- Build code to extract raw data, validate its quality, and transform it for downstream compatibility
- Design, develop, and maintain scalable data pipelines for efficient large-scale dataset integration using appropriate technologies.
- Integrate real-time and batch-processing pipelines to improve workflows and enhance user experience.
- Collaborate with machine learning engineers to support data preparation, feature engineering, and model evaluation for machine learning models.
- Work with data scientists to identify opportunities, conduct analyses, and drive data-driven decisions for AI initiatives.
- Manage feature storage systems and develop real-time streaming pipelines for low-latency data processing, using tools like PySpark or similar.
- Implement performance monitoring, troubleshoot issues, and develop scalable solutions to ensure reliability.
Other
- By applying to this Mountain View, CA position, you are required to be local to San Francisco area and in office 3 days a week.
- Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
- 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
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 10 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 8 years experience in business analytics, data science, software development, data modeling or data engineering work OR equivalent experience.
