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Data Engineer, Music

Spotify

$125,562 - $179,374
Jun 10, 2025
New York, NY, US
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The Rights Systems team is driving the technical foundations of a step-change for Spotify’s business by enabling the distribution of UGC content across the platform.

Requirements

  • Experience with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, or Cassandra.
  • Knowledge of writing distributed data pipelines in Scala or comparable languages.
  • Knowledge of data modeling, data access, and data storage techniques.
  • Experience with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform.
  • Experience with agile software processes, data-driven development, reliability, blameless incident response, and responsible experimentation.
  • Experience with modern testing, debugging and automation techniques.
  • Experience working with backend services and Pubsubs.

Responsibilities

  • Build large-scale batch and real-time data pipelines that undergird our Rights ecosystem with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform.
  • Collaborate and advise on backend services and Pubsubs to expose data for consumption by other teams.
  • Work with a fullstack team to build and launch backend services & data pipelines that power a new web application for our rightholders content management system for video content.
  • Continuously assess and improve the health of the team’s data stack, driving efforts to increase reliability, observability, and efficiency.
  • Leverage the most efficient practices in continuous integration and delivery.
  • Help us prioritize and address technical debt to ensure our systems are built for speed and reliability and have the ability to scale to meet changing needs.
  • Help drive optimization, testing, and tooling to improve data quality.

Other

  • Professional experience working in a product-driven environment.
  • Committed to making your team the best version of itself through mentorship and constructive accountability.
  • Take initiative in improving data systems and practices, and can drive improvements independently when needed.
  • Thrive in fast-paced, collaborative environments where learning and iteration are part of the culture.
  • Responsible for your solutions end-to-end, from scoping tickets through to deployment and smoke testing your features in production.
  • Prioritize team success to create further opportunity for yourself and teammates, and understand the value of collaboration and coordination across teams.