Backend Engineer - Data Platform

Spotify, the world's leading audio streaming platform serving 600+ million Monthly Active Users, is seeking a Backend Engineer for their Data Quality and Observability team. This role is crucial in maintaining and developing the data platform that processes over 2 petabytes of data daily, supporting both users and 8,000+ employees worldwide.

The position offers an opportunity to work on innovative tools and scalable systems that ensure reliability and accuracy across Spotify's data platform. You'll be building backend services, optimizing pipelines, and supporting teams in delivering insights that directly impact how the world experiences audio. The role combines technical expertise with real-world impact, as your work will ensure features like Daylist remain current and functional for millions of users.

Working in a hybrid environment from Toronto, you'll join a culture that values innovation, iteration, and inclusivity. The role offers hands-on experience with cutting-edge technologies, including AI integrations for data quality, and the chance to collaborate with internal teams and open-source communities. Spotify provides a unique environment where engineers are empowered with autonomy to solve meaningful problems, participate in hack days, and contribute to a platform that revolutionizes how the world listens to audio.

The ideal candidate will have strong Java programming skills, systems design knowledge, and a passion for data quality and observability. Experience with technologies like Scala, Flyte, or Apache Iceberg is a plus, as is familiarity with data monitoring tools. This role offers the perfect blend of technical challenge and creative opportunity, making it ideal for engineers who want to impact millions of users while working with one of the most innovative companies in the audio streaming space.