Senior Data Engineer

What the Role Is The Data team at Babylist powers decision-making across the entire business — from product growth to operations to AI. This is a senior individual contributor role on the Data Engineering team, sitting at the intersection of platform thinking and AI-native tooling. You'll own the architecture and systems that make data engineering itself more scalable — not just the pipelines, but the harnesses and agentic scaffolding that generate, test, and maintain them. You'll 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 Experienced building production AI/LLM systems — RAG pipelines, agentic workflows, tool integrations (e.g., MCP servers) that real users depend on, not just prototypes Platform-minded — you see repetitive data engineering work as a system design problem and build the scaffolding to automate it Deeply fluent in Python and production-grade data engineering, with 7+ years building systems that hold up at scale Proficient with Airflow and dbt — you understand data modeling and ETL principles, not just the tooling Comfortable in AWS — you've provisioned and managed cloud data resources across EC2, S3, Lambda, and EKS Familiar with Snowflake or comparable modern cloud data warehouses Able to work cross-functionally with analysts and...