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Data Engineer

Spotify

$125,562 - $179,374
Oct 30, 2025
New York, NY, US
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The Ads reporting team at Spotify is looking to create scalable, reliable data and backend systems that power their advertising ecosystem, enabling seamless delivery of personalized, impactful ads while maintaining an exceptional user experience.

Requirements

  • Experience in data engineering with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure
  • Familiarity with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam
  • Familiarity with API design, microservice architecture, and frameworks like Spring Boot or gRPC
  • Programming skills in Java or Scala, and for analytics and data extraction (SQL, Python, Pandas, R)
  • Commitment to agile software processes, data-driven development, reliability, and responsible experimentation
  • Hands-on experience with orchestration tools like Airflow or similar
  • Experience with database systems, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Cassandra, DynamoDB)

Responsibilities

  • Maintain and enhance Spotify’s reporting pipelines, ensuring they remain business-critical
  • Build large-scale batch and real-time data pipelines to efficiently collect, process, and store reporting-related data
  • Make enhancements to data models and ETL code to improve pipeline efficiency and data quality
  • Design, develop, and maintain high-performance backend services and APIs to power Spotify’s advertising platform
  • Work closely with stakeholders to understand and translate business requirements into technical solutions
  • Write scalable, testable, maintainable, and high-quality code
  • Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines

Other

  • Excellent problem-solving and communication skills
  • Commitment to agile software processes, data-driven development, reliability, and responsible experimentation
  • Collaboration with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily
  • Six month paid parental leave
  • 23 paid days off, 13 paid flexible holidays