Spotify-posted 3 months ago
$125,562 - $179,374/Yr
Remote • New York, NY
5,001-10,000 employees
Professional, Scientific, and Technical Services

We're looking for an experienced Data Engineer with a strong data/ETL backbone to help shape the core datasets that power how we understand our business. You'll join a tight-knit crew of analytics/data engineers, building robust, scalable pipelines and data models within a very large data ecosystem. You'll collaborate with data producers and consumers company-wide and co-own the technical architecture and roadmap of our data platform. We lean heavily on Scio (the Scala API for Apache Beam), BigQuery and dbt to solve big, complex data problems across domains-and you'll be at the center of it. You'll help define the datasets and models that inform high impact business decisions across our verticals, shaping how we understand subscriber behavior and content performance. Your work will make data easy to trust, easy to find, and easy to use.

  • Build, own, and operate pipelines that generate foundational datasets used by hundreds of downstream users at Spotify.
  • Evolve the end-to-end technical architecture of our data platform-driving decisions on modeling, orchestration, reliability, and cost.
  • Design new, trustworthy datasets from a complex upstream ecosystem-partnering closely with other data/analytics engineers and data scientists to define clear contracts and representations.
  • Raise the bar on engineering practices: CI/CD, automated testing, data quality checks, optimization, observability, documentation, and discoverability.
  • Mentor teammates-sharing context, actively reviewing code and designs, and helping the team grow its technical depth.
  • 3+ years of hands-on data, insight, or analytics engineering experience, with proficiency in Scala or Java.
  • Comfortable working in cross-functional teams with Data Engineers and Data Scientists.
  • Practical experience with hands-on data processing frameworks (e.g., Apache Beam or MapReduce).
  • Strong SQL fundamentals and experience with cloud data warehouses-ideally BigQuery-for data validation, exploration, and distribution to analytics teams.
  • Collaborative, low-ego, and invested in helping peers level up. You care about reliable pipelines, clear models, and measurable impact.
  • 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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