Microsoft AI (MS AI) is seeking experienced Data Engineers to join their mission of pushing the boundaries of artificial intelligence. 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 creating core data pipelines that help fine-tune models and support introspection of data to improve human-AI interactions.
The ideal candidate will combine technical expertise in big data processing with a methodical approach to problem-solving. You'll work at the intersection of AI and data engineering, building scalable solutions that power Microsoft's AI initiatives. The role requires proficiency in languages like Scala, Python, and Java, along with extensive experience with big data technologies including Spark, Hadoop, and Kafka.
Working from either New York City, Mountain View, or Redmond offices, you'll be required to be in-office 3 days per week. The position offers competitive compensation ranging from $188,000 to $331,200 depending on level and location, along with comprehensive benefits including healthcare, educational resources, and investment options.
This is an opportunity to shape the future of AI at Microsoft, working on systems that aim to make artificial intelligence accessible to consumers, businesses, and developers worldwide. You'll collaborate with cross-functional teams including AI researchers, platform engineers, and infrastructure teams to build next-generation data platform products and services.
The role demands someone who can not only architect and implement complex data solutions but also communicate effectively with both technical and non-technical stakeholders. You'll need to demonstrate strong interpersonal skills, maintain a growth mindset, and contribute to Microsoft's inclusive culture where everyone can thrive.