Backend Engineer, Personalization

The Personalization Team at Spotify

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly, and Daily Mix.

We are looking for a Backend Engineer, Personalization with data experience to join our team. We build the fundamental platform to ingest, model, materialize high-scale, and serve at scale, event-driven user behavior data so Spotify can make personalized recommendations. Our platform tools support easy experimentation and productionisation. This is a unique opportunity to help develop and shape the way Spotify recommendations work. You’ll be able to grow your skills in engineering at scale, drive long term platform vision, and join a high-energy, positive team environment!

Join us and you’ll keep millions of users listening to great recommendations every day.

What You'll Do

• Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam.
• Develop, deploy, and operate Java services that impact millions of users.
• Work towards supporting machine learning projects powering the experience that suits each user individually.
• Collaborate with other engineers, product managers, and stakeholders, taking on learning and leadership opportunities that will arise every single day.
• Deliver scalable, testable, maintainable, and high-quality code.
• Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.

Who You Are

• You are familiar with the concepts of data modeling, data access, and data storage techniques.
• You are familiar with distributed data processing frameworks (ex: Beam, Spark).
• You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation.
• You value opportunities to work collaboratively.

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration.

Compensation and Benefits

The United States base range for this position is $125,561-$179,374, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Key skills/competency

• Backend Engineering
• Data Pipelines
• Java Development
• Distributed Systems
• Machine Learning Support
• Google Cloud Platform (GCP)
• Apache Beam
• BigQuery
• Data Modeling
• Scalability