Senior Data Engineer at Babylist — a senior individual contributor on the Data Engineering team, responsible for shaping scalable data architecture at the intersection of platform thinking and AI-native tooling. You will own the architecture and systems that make data engineering scalable, including data pipelines, the harnesses and agentic scaffolding that generate, tests, and maintain them. You will work cross-functionally with analysts, data scientists, and product teams to keep Babylist's data infrastructure reliable and ahead of where the business is going.

Who You Are: - 7+ years of experience building production-grade data systems at scale. - Deep Python expertise and production-grade data engineering, with proficiency in Airflow and dbt; strong data modeling and ETL fundamentals. - Proficient with AWS (EC2, S3, Lambda, EKS) and Snowflake or similar modern cloud data warehouses. - Experience building production AI/LLM systems (RAG pipelines, agentic workflows, tool integrations) that real users rely on. - Platform-minded; you design scaffolding to automate repetitive data engineering work. - Comfortable collaborating with analysts and data scientists, translating needs into infrastructure. - Naturally leverages AI in daily work to move faster and improve output.

What You Will Do: - Build and scale data pipelines for ingestion into Snowflake with reliability and performance for a $750M+ e-commerce business. - Design and ship agentic systems that perform data engineering tasks — pipeline generation, testing, and maintenance as automated systems. - Devel

Senior Data Engineer at Babylist — a senior individual contributor on the Data Engineering team, responsible for shaping scalable data architecture at the intersection of platform thinking and AI-native tooling. You will own the architecture and systems that make data engineering scalable, including data pipelines, the harnesses and agentic scaffolding that generate, tests, and maintain them. You will work cross-functionally with analysts, data scientists, and product teams to keep Babylist's data infrastructure reliable and ahead of where the business is going.

Who You Are: - 7+ years of experience building production-grade data systems at scale. - Deep Python expertise and production-grade data engineering, with proficiency in Airflow and dbt; strong data modeling and ETL fundamentals. - Proficient with AWS (EC2, S3, Lambda, EKS) and Snowflake or similar modern cloud data warehouses. - Experience building production AI/LLM systems (RAG pipelines, agentic workflows, tool integrations) that real users rely on. - Platform-minded; you design scaffolding to automate repetitive data engineering work. - Comfortable collaborating with analysts and data scientists, translating needs into infrastructure. - Naturally leverages AI in daily work to move faster and improve output.

What You Will Do: - Build and scale data pipelines for ingestion into Snowflake with reliability and performance for a $750M+ e-commerce business. - Design and ship agentic systems that perform data engineering tasks — pipeline generation, testing, and maintenance as automated systems. - Devel