Build and operate high-volume Python data ingestion pipelines orchestrated with Apache Airflow. Model and serve large datasets in ClickHouse and Snowflake, migrate pipelines to S3 and ClickHouse, maintain enterprise data deliveries, and implement monitoring and data quality checks. Collaborate with engineering, product, and data science teams to develop data products. The role is hybrid, requiring three to four days weekly in San Mateo or New York.

Lead full-stack projects from design through production, build AI-powered product features and internal agents, design scalable APIs and data systems, improve engineering productivity, mentor teammates, and own features across React, Next.js, Node.js, PostgreSQL, and AWS while using AI coding agents.