What you’ll do

  • Continuously design, develop, and test data-driven solutions
  • Work with state-of-the-art data processing frameworks and technologies
  • Help drive the company-wide advancement of Spotify’s data infrastructure, tooling and processes
  • Improve data quality through testing, tooling and continuously evaluating performance
  • Collaborate with software engineers, ML experts and others
  • Work in cross-functional agile teams to regularly experiment, iterate, and deliver on new product objectives with an end-to-end responsibility for your squad’s mission
  • Work from our office in Boston, Massachusetts

Who you are

  • You have a proven record of personally taking large data projects from ideation to implementation
  • You have experience architecting and operating large data pipelines
  • You know how to work with high volume heterogeneous data with distributed systems such as Hadoop
  • You are an expert in one or more higher level JVM-based data processing frameworks like Crunch, Scalding, Storm, Spark and Dataflow (not just Pig/Hive/BigQuery/other SQL-like abstractions)
  • You are knowledgeable about data modeling, data access, and data storage techniques
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation
  • You are passionate about creating clean code and have a strong foundation in coding and building data pipelines
  • You preferably have worked on open source or other data related projects

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