You care about agile software processes, data-driven development, reliability, and responsible experimentation.You are knowledgeable about data modeling, data access, and data storage techniques.You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.You have at least 1 year of professional experience working in a product-driven environment.Work in cross functional agile teams to continuously experiment, iterate and deliver on new product objectives.Collaborate with other engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day.Help drive optimization, testing and tooling to improve data quality.Leverage best practices in continuous integration and delivery.Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark and the Google Cloud Platform.Above all, your work will impact the way the world experiences music. You will take on complex data-related problems using some of the most diverse datasets available - user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. You will build data driven solutions to bring music and digital media experiences to our 100 million active users and millions of artists either by working directly on product features, publishing and insight tools for artists, or by improving the quality of our data tools and large scale data infrastructure. Spotify is looking for a Software Engineer to join our Data Engineering org.

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