Backend/Data Engineer - Content Platform
New York, NY
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!
Spotify is looking for a Backend/Data Engineer to join our Marketplace Engineering organization! You will build data solutions and distributed services to bring music and digital media experiences to our 286 million active users and millions of artists. Either by working directly on product features, publishing, and insight tools for artists or by improving the quality of our software tools and large scale infrastructure.
You will take on complex data and distributed systems problems using some of the most diverse datasets available — user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences music!
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.
You will take on complex data and distributed systems problems using some of the most diverse datasets available — user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences music!
What you'll do
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark, and the Google Cloud Platform.
- Design, develop, and deploy backend services in Java with a focus on high availability, robustness, and monitoring.
- Use best practices in continuous integration and delivery.
- Help drive optimization, testing, and tooling to improve data and systems quality.
- Work in multi-functional agile teams to continuously experiment, iterate, and deliver on new product objectives.
- Take operational responsibility for the services that are owned by your team.
- Work in an environment that supports your individual growth by providing you ambitious tasks to tackle and the time needed to acquire new skills.
Who you are
- Have 3+ years of professional experience working in a product facing environment.
- Worked with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
- Experienced in writing distributed, high-volume services in Java or Scala.
- Have an understanding of system design, data structures, and algorithms.
- Knowledgeable about data modeling, data access, and data storage techniques.
- Deployed and operated services in a cloud environment such as GCP or AWS.
- Enjoy close collaboration with web engineers and passionate about the software architecture across the backend, frontend, and the APIs that glue them together.
- Care about agile software processes, data-driven development, reliability, and responsible experimentation.
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 APIs AWS Bigtable Cassandra Data pipelines Distributed Systems Engineering GCP Google Cloud Hadoop Pipelines Scala Spark Streaming Testing
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
17
2
0
Category:
Engineering Jobs
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