Data Engineer – Music at Spotify id-7157

As part of the Music Mission here at Spotify, our goal is to empower artists to build sustainable careers by connecting with their fans. To foster this connection, we’re building engaging interactive experiences for artists to share their latest music, art, and offerings with their top fans, and for fans to support their favorite artists. Our areas of expertise include interactive online experiences, e-commerce, and an exploration of emergent trends in digital fandom.

Come join the exciting team that builds and evolves big datasets, data pipelines, and data platforms that serve artists and teams across Spotify. You will have the opportunity to build a next generation data platform bible that serves the Spotify for Artists application and many other teams within Spotify.

You’ll join a team of talented engineers solving complex architecture problems and collaborate across teams to develop reliable, scalable solutions that power the Spotify for Artists app.

What You’ll Do

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• Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform.
• Collaborate and advise on backend services and Pubsubs to expose data for consumption by other teams.
• Work with Product to conceptualize and implement new ways of understanding the interplay between user happiness, track performance, and artist needs.
• Leverage the most efficient practices in continuous integration and delivery.
• Help us prioritize and address technical debt to ensure our systems are built for speed and reliability and have the ability to scale to meet changing needs.
• Help drive optimization, testing, and tooling to improve data quality.
• Collaborate with other engineers, product managers, specialists, and stakeholders, taking learning and leadership opportunities that will arise every single day.
• Work in agile teams to continuously experiment, iterate and deliver on new product objectives and enhance tooling for squads within our product area.

Who You Are

• Have strong fundamentals in computer science and previous experience building backend services at scale.
• You have experience with any of the following big data tech: OLAP datastores like Druid and ClickHouse, Scio, Flink, Spark, BigQuery, Parquet, and Databricks.
• Have an interest and some experience with Scala and data engineering.
• Have an understanding of distributed systems, data structures and architecture patterns.
• Familiar with cloud providers like AWS or GCP.
• Comfortable working collaboratively on a cross-functional team in a remote-first environment.
• Have a growth mindset and eagerness to learn.

Where You’ll Be

• We are a distributed workforce enabling our band members to find a work mode best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location.
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
• Working hours? We operate within the Eastern Standard time zone for collaboration.