Data Engineer II - SRC - Music

Build and maintain the data pipelines and analytics infrastructure that power Spotify’s rights management platform

Own batch and streaming pipelines that generate core datasets used by Spotify Rights Center, including processing content segments, joining rights metadata, and producing match data that drives the product

Develop and evolve analytics models that transform pipeline and service data into reporting for system reliability, rightsholder adoption, and business ROI

Partner closely with product managers, backend engineers, and insights teams to define metrics, build dashboards, and generate data that informs strategic decisions around platform expansion

Maintain data export pipelines connecting backend services and the data warehouse to ensure downstream consumers receive timely and accurate data

Implement strong data quality practices, including validation tests, alerts, and monitoring to ensure reliable pipeline outputs

Contribute to technical solutions that support licensing, financial engineering, and content platform stakeholders

Participate in product ideation with engineers, researchers, product managers, and domain experts across the team

Contribute to a collaborative engineering culture and support continuous learning through hack days, reading groups, and internal training

You have strong SQL skills and deep experience with data modeling and warehouse design

You have experience building and operating batch data pipelines at scale using tools such as Scio, Apache Beam, Spark, or similar frameworks

You are comfortable working with modern cloud data warehouses such as BigQuery, Snowflake, or similar technologies

You have experience with analytics engineering tools like dbt and understand layered data modeling approaches (staging, transformation, reporting)

You have worked with workflow orchestration platforms such as Flyte, Airflow, or similar systems

You can write production-quality code in languages such as Scala, Python, or Java

You understand data quality practices and have built monitoring and alerting systems for pipeline reliability

You take ownership of solutions end-to-end, from understanding business questions to deploying and validating data pipelines

You communicate clearly with both technical and non-technical stakeholders

You enjoy learning new domains and tackling complex data challenges such as rights management, content matching, and multi-territory licensing

We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have .

This team operates within the Eastern Standard time zone for collaboration.