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!The Spotify Home team is looking for a Data Engineer who is passionate about data and metrics to focus on building structured, high-quality data solutions for the personalization models powering the personalization models behind the optimal ranking, balancing and positioning of content in Spotify’s Homepage. In collaboration with a team of ML Engineers, Data Engineers, Backend Engineers and Research Scientists you will use this data to help inform and guide decision-making and strategy for the Home sessions of each one of the 380+ million of Spotify users.
What You'll Do
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Spark, the Google Cloud Platform, Dataflow, and Tensorflow.
- Use best practices in continuous integration and delivery.
- Help drive optimization, testing and tooling to improve data quality.
- Collaborate with ML engineers and business partners.
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
- Work on whatever you want during our regular hackathons.
Who You Are
- You know how to work with complex heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
- You know how to write distributed services in Java or Scala.
- You are knowledgeable about data modeling, data access, and data storage techniques.
- You appreciate agile software processes, data-driven development, reliability, and responsible experimentation.
- You understand the value of partnership within teams.
- We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.
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 or European regions in which we have a work location and is within working hours.
- Working hours? We operate between the Eastern and Central European time zones for collaboration.
- 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.
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 Bigtable Cassandra Dataflow Data pipelines Distributed Systems GCP Google Cloud Hadoop Machine Learning Pipelines Research Scala Spark Streaming TensorFlow Testing
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