Data Engineer II - Music
We are looking for an experienced Data Engineer to become a part of the Music Promotion & S4A Studio, building the most powerful tools available to allow artists & labels to see all the data on how their music is performing on Spotify in one place with tools and insights to help them identify ways to take action on growth trends and amplify their music on the platform.
CAMP is a data and full-stack web team focused on building out the canonical metrics for Spotify for Artists. We build, serve, and maintain comprehensive music consumption datasets with the goal of giving artists tools to understand and take valuable action to build their audience and their career.
Our team manages hundreds of pipelines transforming raw information about user streams into aggregations that tell a story about listening behavior and audience growth and engagement over time, an orchestration layer that fetches, calculates, and filters that data for relevance, and the front end surfaces and features that render the analytics visuals on Spotify for Artists.
What You'll Do
• Build and scale batch data pipelines on Scio and GCP
• Collaborate and advise on backend services.
• Work with Product and Design to define and develop what metrics are most important to artists, labels, and marketing teams in knowing definitively how their music is resonating with fans and new listeners.
• Help us prioritize and address technical debt to ensure our systems are built for stability, cost efficiency, and timely delivery.
• Help drive optimization, testing, and tooling to improve data quality.
• Collaborate with other engineers, product managers, data scientists, and specialists, taking learning and leadership opportunities that will arise every single day.
• Work in agile teams to continuously experiment, iterate and deliver on new product objectives and enhance tooling for squads within our product area.
Who You Are
• You have worked with large-scale heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, or Cassandra.
• You know how to write distributed data pipelines in Java or Scala.
• You are knowledgeable about data modeling, data access, and data storage techniques.
• You advocate for agile software processes, data-driven development, reliability, blameless incident response, and responsible experimentation.
• You understand the value of collaboration and coordination across teams.
• You are committed to making your team the best version of itself through mentorship and constructive accountability.
Where You'll Be
• We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
• This team operates within the Eastern time zone for collaboration.
The United States base range for this position is $122,716.00 - $175,308, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
Apply Now
CAMP is a data and full-stack web team focused on building out the canonical metrics for Spotify for Artists. We build, serve, and maintain comprehensive music consumption datasets with the goal of giving artists tools to understand and take valuable action to build their audience and their career.
Our team manages hundreds of pipelines transforming raw information about user streams into aggregations that tell a story about listening behavior and audience growth and engagement over time, an orchestration layer that fetches, calculates, and filters that data for relevance, and the front end surfaces and features that render the analytics visuals on Spotify for Artists.
What You'll Do
• Build and scale batch data pipelines on Scio and GCP
• Collaborate and advise on backend services.
• Work with Product and Design to define and develop what metrics are most important to artists, labels, and marketing teams in knowing definitively how their music is resonating with fans and new listeners.
• Help us prioritize and address technical debt to ensure our systems are built for stability, cost efficiency, and timely delivery.
• Help drive optimization, testing, and tooling to improve data quality.
• Collaborate with other engineers, product managers, data scientists, and specialists, taking learning and leadership opportunities that will arise every single day.
• Work in agile teams to continuously experiment, iterate and deliver on new product objectives and enhance tooling for squads within our product area.
Who You Are
• You have worked with large-scale heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, or Cassandra.
• You know how to write distributed data pipelines in Java or Scala.
• You are knowledgeable about data modeling, data access, and data storage techniques.
• You advocate for agile software processes, data-driven development, reliability, blameless incident response, and responsible experimentation.
• You understand the value of collaboration and coordination across teams.
• You are committed to making your team the best version of itself through mentorship and constructive accountability.
Where You'll Be
• We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
• This team operates within the Eastern time zone for collaboration.
The United States base range for this position is $122,716.00 - $175,308, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
Apply Now