Senior Data Engineer, Auction Intelligence

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

Design, build, and maintain scalable batch and streaming data pipelines using tools like Scio and GCP (BigQuery, Dataflow, GCS)

Develop high-throughput, low-latency pipelines that support use cases such as budget pacing, campaign performance prediction, and auction bidding

Partner closely with machine learning engineers and senior engineers to build data foundations for ML-driven products

Improve data quality, reliability, and observability across pipelines to support critical business decisions

Contribute to architecture and design decisions, balancing long-term scalability with practical delivery

Write clean, maintainable, and well-tested code aligned with Spotify’s engineering practices

Collaborate across functions with product managers, engineers, and stakeholders to deliver impactful solutions

You have experience building and operating distributed data pipelines in production environments at scale

You are experienced with data technologies such as BigQuery, Bigtable, or similar systems

You write production-quality code in Java and/or Scala and have worked with frameworks like Scio or similar

You have worked with orchestration tools such as Flyte, Styx, or comparable systems

You are comfortable working with both batch and streaming data processing

You approach problems with curiosity and use data to guide decisions and improvements

You communicate clearly and collaborate effectively across technical and non-technical teams

You are interested in working closely with machine learning systems or backend services

The United States base range for this position is $164,448- $234,926, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.