As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation.
Location: We're looking to hire for this role locally to our offices based in Washington D.C., Denver, Bellevue, or Seattle. This will be a hybrid role with in-office expectations.
Databricks is looking for an Engineering Manager to lead the App Traffic team, responsible for critical networking infrastructure that powers communication across the Databricks platform.
Location: San Francisco or Seattle At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
Databricks · 1mo ago
Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. Adapt the SA team's skills and engagement model to match the needs of Digital native customers.
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.
Databricks’ Developer Relations team is looking for a leader to manage our open source Developer Advocates, deepen our engagement across the Apache Software Foundation and Linux Foundation communities, and lead technical storytelling and experiences that strengthen trust and…
As a Staff Product Manager , you will own the product strategy, roadmap, and execution for the Agentic Platform the foundational layer that every domain workspace depends on.
SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash.
You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.
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