Member of Technical Staff - Data Engineer

Microsoft AI (MS AI) is seeking experienced Data Engineers to join their mission to push the boundaries of AI and build systems with true artificial intelligence across agents, applications, services, and infrastructure. The role focuses on building mission-critical data pipelines that ingest, process, and publish data streams from personal AI and Copilot systems.

As a Data Engineer, you'll be part of the Data Platform Engineering team responsible for building core data pipelines that help fine-tune models and support introspection and retrospection of data to constantly evolve and improve human AI interactions. The position requires technical prowess, methodical problem-solving, proficiency in big data processing technologies, and expertise in templating.

The role demands experience with Apache Hadoop ecosystem, Kafka, NoSQL, and public cloud infrastructure like Azure, AWS, or GCP. You'll work with various datastores including RDBMS and key-value stores, while building distributed systems at scale with knowledge spanning bare-metal hosts to containers to networking.

Microsoft offers a comprehensive benefits package including industry-leading healthcare, educational resources, savings and investments, parental leave, and generous time away. The base pay range varies by location: USD $137,600 - $267,000 across most U.S. locations, and USD $180,400 - $294,000 in the San Francisco Bay area and New York City metropolitan area.

This position requires being local to either New York, Mountain View, CA, or Redmond, WA, with in-office presence 3 days per week. Join Microsoft's mission to empower every person and organization on the planet to achieve more, working in a culture of inclusion with a growth mindset.