Data Engineer, Personalization

The Personalization team at Spotify is seeking a Data Engineer with backend experience to join their team. This role is at the forefront of developing Spotify's recommendation systems, powering personalized content across music, podcasts, and audiobooks. It's a unique opportunity to shape how Spotify recommendations work, impacting millions of users daily.

As a Data Engineer, you'll be building large-scale data pipelines using frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam. You'll also develop, deploy, and operate Java services that directly impact millions of users. The role involves working on machine learning projects to create personalized experiences for each user.

You'll collaborate with other engineers, product managers, and stakeholders, with plenty of opportunities for learning and leadership. The ideal candidate should have strong skills in Scala, experience with JVM-based data processing frameworks, and knowledge of deploying and operating Kubernetes-based Java applications. Familiarity with machine learning principles and DevOps best practices is also important.

Spotify offers a flexible work environment, allowing you to work from various locations within the Americas region. They operate within the Eastern Standard time zone for collaboration. The company provides competitive benefits, including health insurance, six months of paid parental leave, a 401(k) retirement plan, monthly meal allowance, and generous paid time off.

Join Spotify's Personalization team to help keep millions of users engaged with great recommendations every day, while growing your skills in large-scale engineering and driving significant business impact in a positive team environment.