Backend Engineer - Data Science Notebooks Platform

New York, NY

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Posted 3 weeks ago

We are looking for backend engineers to join our team of hardworking engineers that share a common interest in distributed backend systems, ML, big data, their scalability and continued development. By joining the Data and Insights organization, you’ll be a key contributor in making the systems that power our large scale data processing, insights, and machine learning efforts more reliable. Above all, your work will change the way the world experiences music.
The Insights Platform teams within Data and Insights have a wide range of responsibilities. The teams enable the consumption of Insights by helping anyone at Spotify answer their questions using data. Additionally, the teams build tools to support Data Scientists in their end to end workflow, querying data in BigQuery, exploring data in Jupyter notebooks, and visualizing data with Tableau or QlikSense. Join us and help to amplify efficiency, quality and innovation across Spotify!

What you'll do:

  • Build out the Jupyter notebooks platform at Spotify to serve Data Science and ML use cases
  • Coordinate technical projects across teams within Spotify
  • Be a technical leader within the team you work with and within Spotify in general
  • Be a valued member of an autonomous, multi-functional agile team
  • Build, automate, maintain, scale, and monitor user-facing systems using standard methodologies, with reliability and scalability in mind
  • Work with the other specialists to debug and fix issues
  • Implement high-quality release engineering practices to facilitate rapid development, safe changes, and engineer productivity
  • Maintain system architecture documentation and runbooks
  • Collaborate with other specialists, product managers, and designers to identify and solve exciting problems, crafting an awesome engineering experience within Spotify
  • You’ll initiate, influence and drive technical projects across teams within Spotify
  • You’ll use industry standard, cloud native tech, which means easily transferable skills and a focus on your professional development
  • Hack on what you want during regular hack days and bi-annual hack weeks
  • Work from our awesome office in New York City where we tackle problems in Data, Monetization, Music Recommendations, Features for Artists, and Social Networking

Who you are:

  • You know how to write distributed, well designed services in Java
  • Have experience with ML models in production
  • Know how to work with large scale data systems
  • You know how to use Docker
  • Will be able to apply your knowledge of the Java runtime environment to help us improve our backend service and data landscape
  • You are experienced with deploying and operating services on Linux
  • Have a deep understanding of system design, data structures, and algorithms
  • You care about quality and you know what it means to ship high quality code
  • Google Cloud Platform experience is a bonus
  • As a phenomenal influencer with great communication skills, you love sharing your knowledge with others and helping them grow
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 320 million users.
Job tags: Big Data BigQuery Engineering Java Linux Machine Learning ML Tableau
Job region(s): North America
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