M+E Technology Job Board
Data Engineer
Spotify
You will build data driven solutions to bring music and digital media experiences to our 75 million active users either by working directly on product features or by improving the quality of our data tools and large scale data infrastructure. Above all, your work will impact the way the world experiences music.
What you’ll do
- Continuously design, develop, and test data-driven solutions
- Help drive the optimization, testing and tooling to improve data quality
- Develop measurement approaches to evaluate performance continuously
- Span languages as needed, depending on the data processing framework in use
- Collaborate with software engineers, ML experts, and others, taking learning and leadership opportunities that will arise every single day
- Work in cross functional agile teams to regularly experiment, iterate, and deliver on new product objectives
- Work from our office in New York or Boston
Who you are
- You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop
- You are experienced with batch and real-time data processing frameworks like Crunch, Scalding, Storm, Kafka, or Spark
- You are knowledgeable about data modeling, data access, and data storage techniques
- You care about agile software processes, data-driven development, reliability, and responsible experimentation
- You preferably have worked on open source or other data related projects
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.
Spotify
You will build data driven solutions to bring music and digital media experiences to our 75 million active users either by working directly on product features or by improving the quality of our data tools and large scale data infrastructure. Above all, your work will impact the way the world experiences music.
What you’ll do
- Continuously design, develop, and test data-driven solutions
- Help drive the optimization, testing and tooling to improve data quality
- Develop measurement approaches to evaluate performance continuously
- Span languages as needed, depending on the data processing framework in use
- Collaborate with software engineers, ML experts, and others, taking learning and leadership opportunities that will arise every single day
- Work in cross functional agile teams to regularly experiment, iterate, and deliver on new product objectives
- Work from our office in New York or Boston
Who you are
- You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop
- You are experienced with batch and real-time data processing frameworks like Crunch, Scalding, Storm, Kafka, or Spark
- You are knowledgeable about data modeling, data access, and data storage techniques
- You care about agile software processes, data-driven development, reliability, and responsible experimentation
- You preferably have worked on open source or other data related projects
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.