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Passionate music fans. Innovative tech pros. Perfect harmony. Join our band.
Backend Engineer II – Native Ads – Music
Location
New York
Posted
82 days ago
Salary
$125.3K - $179K / year
Seniority
Senior
Job Description
Backend Engineer II – Native Ads – Music
Spotify
• Design, build, and operate backend services and large-scale data pipelines that power Native Ads forecasting, supply allocation, and campaign delivery optimization. • Develop and maintain the data infrastructure behind ML forecasting models that predict campaign reach, clicks, conversions, and supply availability across segments, surfaces, and markets. • Build systems that enable forecasting at scale; supporting bulk buying workflows, multi-subcampaign budget allocation, and high-throughput forecast serving for internal and external customers. • Contribute to supply optimization systems including campaign pacing, business-aware supply allocation, and auction infrastructure to maximize delivered revenue and yield. • Collaborate with data scientists and ML engineers to productionize prediction models, build feature pipelines, and ensure model outputs are reliable and observable in production. • Help drive improvements to data quality, pipeline reliability, and system observability across the forecasting and delivery stack. • Work in a cross-functional, agile squad alongside product managers, data scientists, and other engineers to continuously experiment, iterate, and deliver on squad objectives.
Job Requirements
- 3+ years of professional experience in backend engineering, with meaningful exposure to data engineering or ML infrastructure.
- Proficient in at least one backend language such as Java, Scala, or Python, and have experience building services and data pipelines that operate at scale.
- Experience with distributed data processing frameworks (e.g., Scio, Apache Beam, Spark, Flink, or Dataflow) and are comfortable working with large-volume, heterogeneous datasets.
- Familiarity with cloud data platforms, ideally GCP, including tools like BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
- Understanding of data modeling, pipeline orchestration, and the tradeoffs between batch and streaming architectures.
- Care about data quality, system reliability, and building infrastructure that downstream consumers can trust.
- Excitement to work at the boundary of backend systems and data/ML, eager to deepen skills in both areas.
- Thrive in collaborative, cross-functional environments and comfortable navigating ambiguity as requirements evolve.
- Growth mindset and energized by the prospect of seeing work directly impact how artists promote their music to millions of listeners.
Benefits
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
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