Data Engineer
New York, NY, San Mateo, CA
- Pay
- Pay not listedSimilar roles state $89K–$148K
- Work setting
Hybrid — work setting source
Work closely with senior engineers, product, and data science on new data products, using AI coding tools as a normal part of your workflow This position is hybrid, in our San Mateo or New York office 3–4 days a week Qualifications
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: SALARIED_FT
From the employer’s posting
What you’ll work on
Full postingBuild and run Python ingestion pipelines that pull data from streaming platforms, social networks, and third-party data vendors, orchestrated in Apache Airflow
Work with data for 10M+ artists, 100M+ tracks, and 15M+ playlists, plus fast-growing datasets for creators, brands, and athletes
Build and maintain data shares and deliveries for enterprise customers, including major labels and publishers
From the employer’s posting
What you'll do Build and run Python ingestion pipelines that pull data from streaming platforms, social networks, and third-party data vendors, orchestrated in Apache Airflow Work with data for 10M+ artists, 100M+ tracks, and 15M+ playlists, plus fast-growing datasets for creators, brands, and athletes
Build and run Python ingestion pipelines that pull data from streaming platforms, social networks, and third-party data vendors, orchestrated in Apache Airflow Work with data for 10M+ artists, 100M+ tracks, and 15M+ playlists, plus fast-growing datasets for creators, brands, and athletes Model and serve data in ClickHouse and Snowflake, and help move our pipelines from Snowflake to S3 and ClickHouse
Model and serve data in ClickHouse and Snowflake, and help move our pipelines from Snowflake to S3 and ClickHouse Build and maintain data shares and deliveries for enterprise customers, including major labels and publishers Keep data fresh and correct: data monitoring, data quality checks, etc.
What you’ll bring
All qualificationsCore experience
- 2–4 years of experience building production data pipelines, preferably in high-volume consumer or entertainment industries
- Strong Python and SQL, with hands-on experience in Apache Airflow (or a similar orchestrator), a columnar warehouse such as ClickHouse or Snowflake, and AWS
- Experience building and running pipelines that handle millions of records a day, including messy third-party APIs (rate limits, retries, changing schemas)
- 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
Qualification wording
2–4 years of experience building production data pipelines, preferably in high-volume consumer or entertainment industries
Strong Python and SQL, with hands-on experience in Apache Airflow (or a similar orchestrator), a columnar warehouse such as ClickHouse or Snowflake, and AWS
Experience building and running pipelines that handle millions of records a day, including messy third-party APIs (rate limits, retries, changing schemas)
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
Education & alternatives
- 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
Tools in this posting
- Python
- SQL
- AWS
- ClickHouse
- S3
- Snowflake
- Airflow
Source — Tool mentions in context
What you'll do - Build and run Python ingestion pipelines that pull data from streaming platforms, social networks, and third-party data vendors, orchestrated in Apache Airflow - Work with data for 10M+ artists, 100M+ tracks, and 15M+ playlists, plus fast-growing datasets for creators, brands, and athletes
- 2–4 years of experience building production data pipelines, preferably in high-volume consumer or entertainment industries - Strong Python and SQL, with hands-on experience in Apache Airflow (or a similar orchestrator), a columnar warehouse such as ClickHouse or Snowflake, and AWS - Experience building and running pipelines that handle millions of records a day, including messy third-party APIs (rate limits, retries, changing schemas)
- Work with data for 10M+ artists, 100M+ tracks, and 15M+ playlists, plus fast-growing datasets for creators, brands, and athletes - Model and serve data in ClickHouse and Snowflake, and help move our pipelines from Snowflake to S3 and ClickHouse - Build and maintain data shares and deliveries for enterprise customers, including major labels and publishers
Benefits in the posting
Full benefits wording- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Real ownership of pipelines that customers use every day
- Access to cutting-edge tools and technologies
From the employer’s posting.
About Chartmetric
is a 10-year-old startup specializing in music data analytics.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
About Chartmetric
Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal, 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 run Python ingestion pipelines that pull data from streaming platforms, social networks, and third-party data vendors, orchestrated in Apache Airflow
- Work with data for 10M+ artists, 100M+ tracks, and 15M+ playlists, plus fast-growing datasets for creators, brands, and athletes
- Model and serve data in ClickHouse and Snowflake, and help move our pipelines from Snowflake to S3 and ClickHouse
- Build and maintain data shares and deliveries for enterprise customers, including major labels and publishers
- Keep data fresh and correct: data monitoring, data quality checks, etc.
- Work closely with senior engineers, product, and data science on new data products, using AI coding tools as a normal part of your workflow
- This position is hybrid, in our San Mateo or New York office 3–4 days a week
Qualifications
- 2–4 years of experience building production data pipelines, preferably in high-volume consumer or entertainment industries
- Strong Python and SQL, with hands-on experience in Apache Airflow (or a similar orchestrator), a columnar warehouse such as ClickHouse or Snowflake, and AWS
- Experience building and running pipelines that handle millions of records a day, including messy third-party APIs (rate limits, retries, changing schemas)
- 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
- Real ownership of pipelines that customers use every day
- Access to cutting-edge tools and technologies
What We Offer
We believe that great developer experiences lead to better products and happier teams. Our Data Engineering 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 engineering team and ensure quality data to form insights?"
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, NY, San Mateo, CA
- Work closely with senior engineers, product, and data science on new data products, using AI coding tools as a normal part of your workflow - This position is hybrid, in our San Mateo or New York office 3–4 days a week Qualifications
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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