Description
We are seeking a Staff Software Engineer - Fullstack to join our Engineering team in New York City. As a founding engineer in our NYC office, you'll have the opportunity to be part of a small, nimble team that's innovating to build new products from the ground up.
Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.
The key challenge you'll be dealing with is leveraging the latest UX/UI technologies to create simple but powerful interfaces of very complex data and workflows. Your team is taking a UI-first and GenAI-first approach to building products.
For example, you may be working on challenges such as:
- Create interfaces for GenAI agents that generate complex workflows while keeping the human in the loop through inspectability and transparency
- Create complex visualizations such as data pipelines, data mappings, customer journey flows, identity graphs, etc
- Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
- An interactive environment for collaborative data projects at massive scale with an easy path to production
We look for:
- 10+ years of experience with HTML, CSS, and JavaScript
- Passion for user experience and design and a deep understanding of front-end architecture
- High velocity focus, able to ship high quality code frequently and with speed
- Experience building complex workflows and complex analytics visualizations
- Motivated by delivering customer value
- Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
- 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
- Good knowledge of SQL
Pay Range Transparency:
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.