Data Engineer

Data EngineerChartmetric, 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 DoBuild and run Python ingestion pipelines that pull data from streaming platforms, social networks, and third-party data vendors, orchestrated in Apache AirflowWork with data for 10M+ artists, 100M+ tracks, and 15M+ playlists, plus fast-growing datasets for creators, brands, and athletesModel and serve data in ClickHouse and Snowflake, and help move our pipelines from Snowflake to S3 and ClickHouseBuild and maintain data shares and deliveries for enterprise customers, including major labels and publishersKeep 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 workflowThis position is hybrid, in our San Mateo or New York office 3–4 days a weekQualifications2–4 years of experience building production data pipelines, preferably in high-volume consumer or entertainment industriesStrong Python and SQL, with hands-on experience in Apache Airflow (or a similar orchestrator), a columnar warehouse such as ClickHouse or Snowflake, and AWSExperience 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 stakeholdersBachelor's degree in Computer Science, Data Engineering, or equivalent practical experienceThrives in dynamic startup environments with rapidly evolving requirements and tight delivery timelinesBonus: Experience with music industry data, streaming APIs, or social media analytics platformsWhat We OfferCompetitive salary and equity packageComprehensive health, dental, and vision insuranceReal ownership of pipelines that customers use every dayAccess to cutting-edge tools and technologiesWe 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?"