Member of Technical Staff - Data Engineer

Microsoft AI (MS AI) is seeking experienced Data Engineers to join their innovative team working on cutting-edge AI systems. This role focuses on building mission-critical data pipelines that ingest, process, and publish data streams from personal AI and Copilot systems. The position is part of the Data Platform Engineering team, responsible for core data infrastructure that enables model fine-tuning and continuous improvement of human-AI interactions.

The ideal candidate will combine technical expertise in big data processing, distributed systems, and cloud infrastructure with strong problem-solving abilities and collaborative skills. You'll work with cross-functional teams including platform engineers, infrastructure specialists, application developers, and AI researchers to build next-generation data platform products and services.

The role offers a competitive salary range of $117,200 - $250,200 (varying by location) and comes with comprehensive benefits including healthcare, educational resources, and parental leave. Working in a hybrid model, you'll be required to be in the office 3 days per week at one of the primary locations: New York City, San Francisco Bay Area, or Seattle.

This is an exceptional opportunity to work at the forefront of AI technology while contributing to Microsoft's mission of empowering every person and organization on the planet to achieve more. You'll be part of a culture that values growth mindset, innovation, and collaboration, working on projects that directly impact the future of AI technology and its accessibility to users worldwide.

The position requires 4+ years of experience in data engineering or related fields, with deep expertise in technologies like Python, Java, Spark, and SQL. You'll be working with modern data technologies including the Hadoop ecosystem, Kafka, and various cloud services, building scalable solutions that handle massive amounts of data for AI applications.