Senior Data Engineer

Chartmetric•San Mateo, CA

132d•Hybrid

About The Position

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, 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

Requirements

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, 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

Nice To Haves

Experience with music industry data, streaming APIs, or social media analytics platforms

Responsibilities

Build and optimize ETL pipelines
Design scalable data ingestion systems
Architect and maintain our multi-cloud data ecosystem
Develop production-ready Python applications and complex PostgreSQL queries
Collaborate with Data Scientists to transform raw music data into actionable insights