Senior Software Engineer - Fullstack

At Databricks, we are seeking a Senior Fullstack Software Engineer to join our team in building and enhancing the world's leading Data Intelligence Platform. This role combines frontend expertise with backend capabilities to create seamless, user-friendly experiences that help data teams solve complex problems.

As a Full Stack engineer, you'll work at the intersection of user experience and technical implementation, creating intuitive interfaces and robust backend systems that enable our customers to harness the power of their data. You'll be responsible for developing everything from data visualization tools to complex pipeline management systems, all while maintaining a focus on scalability and performance.

The position requires a strong foundation in both frontend and backend technologies, with at least 5 years of experience in each domain. You'll work with modern JavaScript frameworks, particularly React, while also leveraging backend technologies like Node.js, Java, or Python. Your role will involve creating and maintaining large-scale distributed systems, working with cloud technologies, and implementing SQL-based solutions.

Databricks offers a competitive compensation package with a base salary range of $166,000 to $225,000 USD, along with comprehensive benefits. You'll be joining a company that's at the forefront of data and AI technology, serving over 10,000 organizations worldwide, including major Fortune 500 companies.

The ideal candidate will be customer-obsessed, with a passion for user experience and design, capable of thinking strategically about long-term product vision while delivering incremental value. You'll be working in a collaborative environment, contributing to projects that directly impact how organizations interact with and derive value from their data.

This role offers the opportunity to work on challenging technical problems while creating meaningful impact through data-driven solutions. You'll be part of a team that values innovation, customer success, and technical excellence, working on products that are shaping the future of data intelligence.