What you'll do

Build and optimize ETL pipelines processing data for 10M+ artists, 100M+ tracks, 15M+ playlists, and comprehensive music industry metrics
Design scalable data ingestion systems to integrate emerging streaming platforms and social media services into our analytics infrastructure
Architect and maintain our multi-cloud data ecosystem spanning AWS RDS, Elasticsearch, Clickhouse, and Snowflake
Develop production-ready Python applications and complex PostgreSQL queries deployed across distributed systems
Collaborate with Data Scientists to transform raw music data into actionable insights that drive strategic decisions for artists, labels, and industry professionals
This position is hybrid and will be in office 3/4 times a week in our San Mateo or New York office

Who You Are

6+ years of hands-on experience building production data systems, preferably in high-volume consumer or entertainment industries
Expert-level proficiency in Python, PostgreSQL, Apache Airflow, Clickhouse, Snowflake, Elasticsearch, Apache Spark, and AWS ecosystem
Proven track record of designing fault-tolerant, high-throughput data pipelines handling millions of records daily
Strong communication skills with ability to translate complex technical concepts to cross-functional stakeholders
Bachelor’s degree in Computer Science, Data Engineering, or equivalent practical experience
Thrives in dynamic startup environments with rapidly evolving requirements and tight delivery timelines
Bonus: Experience with music industry data, streaming APIs, or social media analytics platforms

What We Offer

Team Culture

We believe that great developer experiences lead to better products and happier teams. Our DevOps/DX team operates as enablers and force multipliers, working collaboratively to remove friction from the development process. We value automation, measurement, and continuous improvement, always asking "how can we make this better for our developers?"

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Senior Data Engineer