Senior Data Engineer - Personalization
Boston, MA
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 Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a Senior Data Engineer to focus on technical designs, implementation, and support of the platform that helps power Spotify’s personalized features. You will play an active role in improving the health and scalability our data systems. You will join a team of technologists, product insight specialists, designers, and product managers in Boston, with customers in New York, Boston, Stockholm, and London.
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.
We are looking for a Senior Data Engineer to focus on technical designs, implementation, and support of the platform that helps power Spotify’s personalized features. You will play an active role in improving the health and scalability our data systems. You will join a team of technologists, product insight specialists, designers, and product managers in Boston, with customers in New York, Boston, Stockholm, and London.
What You'll Do:
- Help drive optimization, testing and tooling to improve data quality.
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark and the Google Cloud Platform.
- Use standard methodologies in continuous integration and delivery.
- Collaborate with other software engineers, Machine Learning specialists, and partners
- Tackle leadership opportunities that will arise every single day.
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Who You Are:
- You've worked with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
- You know how to write distributed, high-volume 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 and between teams.
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.
Tags: Agile Bigtable Cassandra Data pipelines Distributed Systems GCP Google Cloud Hadoop Machine Learning Pipelines Scala Spark Streaming Testing
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
9
1
0
Category:
Engineering Jobs
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