Senior Backend Engineer - Data Science Platform

New York, NY

Full Time Senior-level / Expert
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Posted 1 week 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 enable the consumption of Insights by helping anyone at Spotify answer their questions using data.  Inside Insights Platform, the Data Science Notebooks team is responsible for providing a stable Jupyter notebook platform for data scientists and analysts.  The team is also responsible for BigQuery, our data warehouse.  Join us and help to amplify productivity, 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
  • Be a valued member of an autonomous, multi-functional agile team
  • Maintain system architecture documentation and runbooks
  • Build, automate, maintain, scale, and monitor user-facing systems using standard methodologies, with reliability and scalability in mind
  • 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 and influence Google’s BigQuery roadmap
  • 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

Who you are:

  • You have experience with large scale data systems
  • You know how to write distributed, well designed services
  • You have experience with TensorFlow, PyTorch, or a similar ML framework
  • You are experienced with deploying and operating services on LinuxYou have used Docker and Python extensively
  • You 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, Jupyter Notebook, and Java experience is a bonus
  • As a great influencer with great communication skills, you love sharing your knowledge with others and helping them grow

Where you’ll be:

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within theAmericas region in which we have a work location and is within working hours. 
  • Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
  • 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 optionshere.
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.
Job region(s): North America
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