Chartmetric
About Chartmetric
Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal Music Group, Sony, Warner, and Apple Music, as well as hundreds of other music companies and industry professionals. Our team has created a self-service data dashboard for the music industry to better understand the activity happening around artists. We combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube, Google, Amazon, X, and others through our tool to make sense of the increasingly complex landscape of the music industry.
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, 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, 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
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Opportunity to shape developer experience across the organization
Access to cutting-edge tools and technologies
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?"
Compensation The pay range for this role is
San Mateo: 150,000 - 190,000 USD per year
New York: 150,000 - 190,000 USD per year
Additional Details
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Information Technology
Industries : Software Development
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Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal Music Group, Sony, Warner, and Apple Music, as well as hundreds of other music companies and industry professionals. Our team has created a self-service data dashboard for the music industry to better understand the activity happening around artists. We combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube, Google, Amazon, X, and others through our tool to make sense of the increasingly complex landscape of the music industry.
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, 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, 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
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
Opportunity to shape developer experience across the organization
Access to cutting-edge tools and technologies
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?"
Compensation The pay range for this role is
San Mateo: 150,000 - 190,000 USD per year
New York: 150,000 - 190,000 USD per year
Additional Details
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Information Technology
Industries : Software Development
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr