Data Engineer - Platform

The Platform department builds the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billion customers, and enabling our rapid employee growth around the globe. Our team consists of six organizational units that reflect the needs and groupings of our internal customers. We support the craft and practice of designers, engineers, researchers, and data scientists by developing the frameworks, capabilities and tools they need to do their work optimally, quickly, and safely. We are an amplifier for efficiency, quality, and innovation across all of Spotify!
We are looking for a Data Engineer to join a team of versatile engineers that craft libraries, tooling and infrastructure supporting data processing at Spotify. We research and develop state of the art solutions, collaborating with other teams within the Platform Mission to evolve a robust and reliable platform. We enable developers to solve complex technical challenges with the best user experience possible, enforcing standards and ensuring reliability and job efficiency. We do this by thinking open source first, contributing to large open-source code bases while building up the community around the projects that enable our platform.

What you'll do:

• Work on scio, our open-source Scala API for Apache Beam and Google Dataflow, influencing it's API, providing support for additional IOs, improving support for different runners (DataFlow, Flink, Spark) optimizing for job efficiency and usability
• Research, prototype, implement and drive improvements, focused on solving complex data processing problems across the organization
• You will create and update and evangelize standards and documentation that improve the experience for people working with data at Spotify
• You will contribute features, build up the community and increase the exposure of several of our open source projects

Who you are:

• You have experience working with data engineering and a deep understanding of the problem space
• You are proficient in Scala, Java and their tooling ecosystem
• You have experience with JVM-based data processing frameworks such as Beam, Spark, and Flink. You understand their APIs and can debug their internals
• You know and care about sound engineering practices like continuous delivery, defensive programming, and automated testing
• You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members
• You are comfortable with ambiguity and enjoy working on open ended problems that require you to think out of the box
• You think of open source first, understanding the value of building up a community and contributing back

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
This position is not eligible to be performed in Colorado.