a16z AI Music Analytics Engineer
Summary
Backend/full-stack engineer building scalable analytics platforms for talent identification at Warner Music Group, working with AWS, Ruby on Rails, Postgres, TimescaleDB, Snowflake, and data pipelines integrating streaming and social data.
Warner Music Group is seeking a backend/full-stack engineer to develop scalable analytics platforms for talent identification. You’ll own features through full development lifecycle and work with AWS, databases, and data pipelines in a fast-paced, evolving environment.
You will collaborate with cross-functional teams to source and integrate data from streaming and social sources, and contribute to an industry-leading tech stack including Ruby on Rails, Postgres, TimescaleDB, Snowflake,