hackajob is collaborating with Babylist to connect them with exceptional professionals for this role.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
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 data scientists — translating their needs into infrastructure that actually serves them
* You naturally email addresses only. We will never ask for
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
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 data scientists — translating their needs into infrastructure that actually serves them
* You naturally email addresses only. We will never ask for
Senior Data Engineer in remote at Unknown Company
This position is listed as full time and able to be worked remotely.