About the position
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. We do this by building and running the world's best Data Intelligence 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 tackle 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. As a Full Stack 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. You'll set the foundation for how we build robust, scalable and delightful products.
Responsibilities
- Create simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.
- Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
- Ensure seamless onboarding and management for all members of an organization to become data-driven.
- Provide a great SQL-centric data exploration and dashboarding experience on Databricks.
- Develop an interactive environment for collaborative data projects at massive scale with an easy path to production.
Requirements
- 5+ years of experience with HTML, CSS, and JavaScript.
- Passion for user experience and design and a deep understanding of front-end architecture.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value.
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
- 5+ years of experience with server-side web technologies (e.g., Node.js, Java, Python, Scala, C#, C++, Go).
- Good knowledge of SQL.
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
- Experience developing large-scale distributed systems.
