Databricks empowers over 10,000 global organizations to harness their data with AI through its innovative Data Intelligence Platform, founded by the creators of Apache Spark™.
San Francisco, CA
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
On-site · Vancouver
As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. You'll set the foundation for how we build robust, scalable and delightful products.
On-site · Vancouver
The Staff Software Engineer will work on building and running data and AI infrastructure platforms, addressing technical challenges across various strategic areas. This includes log analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps.
On-site · Vancouver
Design and build intuitive, high-performance dashboard experiences for data exploration and authoring. Collaborate with cross-functional teams to define APIs and data models that support scalable analytical workflows.
On-site · Vancouver
As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. You'll set the foundation for how we build robust, scalable and delightful products.
On-site · Vancouver
The Senior Software Engineer will work on building and running data and AI infrastructure platforms. They will tackle technical challenges across various strategic areas including log analytics, AI/BI, and data governance.