Spotify

Senior Backend/Data Hybrid Engineer - Personalization

Spotify

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $125,300 - $179,000 per year

Job Level

Senior

Tech Stack

BigQueryCloudDistributed SystemsGoogle Cloud PlatformSQL

About the role

  • On the Personalization Team, we seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual person and keep the world listening.
  • Everyday, 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 \"Discover Weekly\" and “Daily Mix.”
  • We're a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.
  • As a Backend Engineer with data engineering experience, you will closely collaborate with our internal customers to determine the best API and backend system design to meet their scalability needs.
  • In this role, you’ll help craft our data strategy and build the systems that power smarter, more intuitive features across Spotify.
  • You'll bring your expertise in building scalable, reliable backend services while also applying modern data engineering practices—such as data quality, monitoring, and reproducibility—to support ML-powered recommendations and user-facing experiences.
  • Above all, your work will impact the way the world experiences music.

Requirements

  • You have proven experience in backend and data engineering, including building scalable services, reliable data pipelines, and robust data platforms.
  • You possess a strong understanding of data systems, distributed systems, and cloud-based infrastructure (e.g., Google Cloud Platform), and are comfortable working with large datasets using tools such as SQL and BigQuery.
  • You collaborate effectively with ML, Data, and Backend teams, and understand the challenges of supporting ML models in production environments.
  • You take initiative to improve systems, mentor peers across disciplines, and drive technical decisions independently.
  • You prioritize code quality, data observability, and monitoring, and have experience working directly with stakeholders to build scalable, reusable APIs and systems.
  • You thrive in fast-paced environments that value experimentation, iteration, and continuous learning.