Senior Data Engineer
Chartmetric
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San Mateo, CA
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Not Applicable
Posted March 26, 2026
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Responsibilities
Commitments
Responsibilities
- 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
Commitments
This position is hybrid and will be in office 3/4 times a week in our San Mateo or New York office
Not Met Priorities
What still needs stronger evidence
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
- Thrives in dynamic startup environments with rapidly evolving requirements and tight delivery timelines
Preferred Skills
- 6+ years of hands-on experience building production data systems, preferably in high-volume consumer or entertainment industries
- Bonus: Experience with music industry data, streaming APIs, or social media analytics platforms
- Access to cutting-edge tools and technologies
Education
- (Not required) – Bachelor’s degree in Computer Science, Data Engineering, or equivalent practical experience
About Chartmetric
Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal MusicGroup, 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. Together, we combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube, Google, Amazon, X, and others through our beautifully designed tool in order 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?"
The Pay Range For This Role Is
150,000 - 190,000 USD per year(San Mateo)
150,000 - 190,000 USD per year(New York)
Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal MusicGroup, 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. Together, we combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube, Google, Amazon, X, and others through our beautifully designed tool in order 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?"
The Pay Range For This Role Is
150,000 - 190,000 USD per year(San Mateo)
150,000 - 190,000 USD per year(New York)