Compensation Overview

What You’ll Do

• Collaborate closely with our team to design, develop, and deploy services in Java that power the music analytics and insights in Spotify for Artists. Your expertise will help enhance the user experience and provide valuable data-driven insights to artists.
• Work hand-in-hand with our backend engineers to develop services that offer real-time metrics and handle sophisticated authorization logic, which is vital for managing the catalog of label users.
• Drive optimization, testing, and tooling initiatives to improve data and systems quality. You will play a meaningful role in unifying the API layer to handle orchestration of music stats and insights across teams and Spotify/S4A surfaces.
• Work closely with our data engineers to develop and improve extensive batch data pipelines. We use data processing frameworks such as Scio, Dataflow, and Flink to transform listener behavior data to facilitate streamlined querying and analysis.
• Be an integral part of multi-functional agile teams, continuously experimenting and iterating to deliver new product objectives and collaborate with adjacent teams to find efficient ways to serve common needs across the product area.
• Thrive in an environment that supports your individual growth and provides you with ambitious tasks to take on. We encourage you to acquire new skills and push the boundaries of what’s possible in the domains of backend and data engineering.
• Mentor less experienced engineers, sharing your expertise and helping them grow professionally.

Who You Are

• You bring a wealth of experience (5+ years) in backend and data engineering, coupled with strong system design skills.
• Proficient in building distributed services with RESTful and/or gRPC endpoints, you have a proven track record of developing robust and scalable systems.
• Hands-on experience working with data in columnar storage formats and wide-column stores like BigTable or Cassandra. Additionally, you have built batch workflow data pipelines using libraries such as Spark or Beam, and are familiar with workflow orchestration tools.
• Deeply knowledgeable in data modeling, data access, and data storage techniques enables you to craft efficient and effective solutions.
• Experienced in deploying and operating services in cloud environments like GCP or AWS, using modern CI/CD tools and Infrastructure as Code (IaC) practices.
• Passionate about agile software processes, data-driven development, reliability, and responsible experimentation. Your dedication to these principles ensures the delivery of high-quality solutions.

Where You’ll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.