Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.
We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:
Требования
BS (or higher) in Computer Science, related technical field or equivalent practical experience
Comfortable working towards a multi-year vision with incremental deliverables
Motivated by delivering customer value and impact
5+ years of production level experience in either Java, Scala or C++
Strong foundation in algorithms and data structures and their real-world use cases
Experience developing large-scale distributed systems
Experience working on a SaaS platform or with Service-Oriented Architectures
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
Experience with security and systems that handle sensitive data
Good knowledge of SQL
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
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Появилась в Вакандии30 днейв источнике с 25.07.2025
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greenhouseОсновная публикация · 2025-07-25
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