Data Engineer

You'll join the Data Collection Product Area within our Platform mission, where we build and operate the systems that power how data flows across Spotify. Our team develops the core event delivery infrastructure that enables hundreds of teams to collect and use data at massive scale. Every day, we support the delivery of trillions of events that help shape Spotify's products and unlock new innovations for creators and listeners alike.

Responsibilities

• Design, build, and improve the infrastructure that powers Spotify's event delivery systems at global scale

• Develop backend services using Java and Apollo, and build batch and real-time data pipelines using tools like Scio and Apache Beam

• Work closely with your squad to ensure systems are reliable, efficient, and continuously evolving to meet user needs

• Take shared ownership of operational responsibilities, including monitoring, troubleshooting, and improving system health

• Collaborate with other teams across the Data Platform and broader R&D organization to deliver impactful data solutions

• Contribute to evolving our use of cloud technologies such as Google Cloud Pub/Sub, GKE, and Dataflow

Requirements

• Experience building backend systems and data pipelines using Java and Scala

• Understanding of distributed systems and comfort working with large-scale, cloud-based infrastructure

• Solid foundation in system design, data structures, and algorithms

• Experience with modern data processing frameworks such as Apache Beam or similar technologies

• Care about building reliable systems and familiarity with continuous integration and delivery practices

• Curiosity and motivation to solve complex technical challenges in high-scale environments

• Ability to collaborate effectively with others and value open feedback and continuous learning

• Comfortable working in agile teams and contributing to a culture of experimentation and improvement