Senior Data Engineer - Personalization
New York City
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!We are looking for a Senior Data Engineer to join our team to join our team of passionate engineers who share a common interest in data and ML systems, their scalability and continued development. We own and actively improve some of Spotify's most loved personalization products (Discover Weekly, Release Radar, This Is, Fresh Finds). Our mission sits in the center of users and artists, helping listeners find their favorite new music and helping artists build devoted fan bases.
You will build data driven solutions and partner with machine learning engineers to thoughtfully connect users with new music, and artists with new listeners. You'll create new personalized playlists to build value for artists, and improve our playlists that already reach 100s of millions of people every week.
What You'll Do
- Help users discover new music they'll love.
- Help artists build fan bases with better matching algorithms and targeting functionality Improve some of Spotify's most well-loved products, like Discover Weekly and Release Radar.
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark and the Google Cloud Platform.
- Use best practices in continuous integration and delivery.
- Help drive optimization, testing and tooling to improve data quality.
- Collaborate with other software engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day.
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives!
- Hack on what you want during regular hack days and bi-annual hack weeks.
Who You Are
- You have professional software engineering and programming experience (SQL, Java, C++, Scala, Python).
- You are comfortable with data warehouses such as Redshift, Snowflake, or BigQuery.
- You are knowledgeable about data modeling, data access, and data storage techniques.
- You have experience with architecture and design (patterns, reliability, scalability, quality) of complex systems.
- You appreciate agile software processes, data-driven development, reliability, and responsible experimentation.
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 the Americas region in which we have a work location and is within working hours.
- You will be working with a team that is largely based in Boston and New York. We collaborate within the Eastern Standard time zone and ask that you be comfortable with that.
- 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.
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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile BigQuery Data pipelines Engineering GCP Google Cloud Machine Learning Pipelines Python Radar Redshift Scala Snowflake Spark SQL Streaming Testing
Perks/benefits: Career development Equity
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