Data Engineer - Wrapped - Fixed Term

What You’ll Do

• Design, build, and maintain distributed data pipelines that power Spotify Wrapped data stories and personalized experiences for more than 300M users globally.
• Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility requirements.
• Build scalable systems that process large-scale listening data and generate insights that celebrate users’ unique listening journeys.
• Develop and optimize pipelines supporting AI-powered personalized playlist experiences and recommendation technologies.
• Collaborate with partner teams to integrate social and shared listening experiences into Wrapped and adjacent user experiences.
• Contribute to technical excellence by improving reliability, observability, performance, and development velocity across the squad’s data systems.
• Support experimentation and iteration on new storytelling concepts beginning early in the product development cycle.
• Work cross-functionally with engineering, product, design, and music domain experts to bring large-scale personalized experiences to life.

Who You Are

• Experience of working in a product-driven engineering environment.
• You have experience working with high-volume, heterogeneous datasets using distributed systems and big data technologies such as Python, Scala, Scio, Ray, Apache Spark, or similar frameworks.
• You are proficient in designing and building distributed data pipelines in Python, Scala, or Java, including experience with frameworks such as Scio and platforms like Dataflow.
• You understand data modeling, data access, and storage techniques across both batch and analytical processing systems.
• You have experience working with large-scale analytical systems such as BigQuery or similar technologies.
• You value iterative software development, data-driven decision making, reliability, responsible experimentation, and cost-efficient engineering practices.
• You thrive in collaborative environments and enjoy working closely with cross-functional teams across engineering, data science, and product.
• You are a creative problem solver who enjoys building products that create meaningful experiences for millions of users.
• You are excited by the challenge of turning research ideas and experimental concepts into reliable, scalable production systems.

Where You’ll Be

• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
• This role can be based within the United States (EST time zone) or within the EMEA region as long as we have a work location.
• This fixed term contract will run from June 2026 through December 2026.