Senior Data Engineer, Babylist
Online universal baby registry
Be an early applicant
Online universal baby registry
1001+ employees
Be an early applicant
1001+ employees
Company mission
To help expecting parents get exactly what they need for the arrival of their new baby.
Role
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 reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next
- You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in
What the job involves
- 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
- Build and scale data pipelines for ingestion into Snowflake — with a focus on reliability and performance across a $750M+ e-commerce business
- Design and ship the agentic systems that perform data engineering work — pipeline generation, testing, and maintenance as automated systems, not one-off builds
- Develop and maintain ML pipelines that help data scientists operationalize models and integrate them with our data infrastructure
- Implement and improve data monitoring across complex, multi-system user journeys
- Collaborate with Analytics Engineers on data modeling and the reliability of shared data assets
- Partner with product, analyst, and ML teams to deliver end-to-end data solutions — from ingestion to advanced analytics and AI\
- You're building the meta-layer — not just pipelines, but the systems that build pipelines; it's a rare scope for a data engineering role
- The data infrastructure is solid; you're extending and automating something that works, not inheriting a mess
- AI is core to the mandate here, not a future aspiration — agentic data engineering is a real part of the roadmap, not a stretch goal
- You'll have direct influence on how a 9M+ user platform scales its data systems through a pre-IPO growth moment
Our take
Since its 2011 launch, Babylist has grown into one of the most highly rated baby registries in the US. The difference it offers is that it allows users to include products from any store in their registries. On top of this, the company’s model also focuses heavily on creating informational content, which allows it to generate ad revenue while building customer loyalty.
Originally scaled with fairly low venture funding, Babylist claims half of new parents in the US now use its services. This, given that the baby products industry is worth close to $90 billion, shows the company's immense growth and speaks to the impact it has made in the space.
Babylist has seen strong funding in the past, which has fuelled projects such as the launch of virtual showrooms and further expanded the company's presence. The company acquired Expectful, a health and wellness tool, in 2023 with the long-term vision of combining the two companies into a larger health and wellness media property that can help people navigate all aspects of parenthood from fertility to diapers.
Steph
Company Specialist at Welcome to the Jungle
Insights
67% employee growth in 12 months
Company
Funding (1 round)
Nov 2021
$40m
SERIES C
Total funding: $40m
Company benefits
- HAPPIER WEEKENDS – We work to live, not live to work. That means we generally don’t work nights or weekends, and we offer 10 paid holidays throughout the year, in addition to your paid time off.
- PAID TIME OFF THAT WORKS FOR YOU – Life is unpredictable. Use your time off for what you need, whether that’s a vacation, family event or a day to unplug.
- PARENTAL LEAVE – We offer a flexible, 12-week paid parental leave policy.
- FLEXIBLE BENEFITS – Choose from benefits that support your working style, whether that's remote, in the office or something in between.
- HEALTH & WELLNESS – Wellness benefits include 100% paid coverage for medical, vision and dental for full-time employees.
- BABYLIST STORE DISCOUNT – All full-time employees receive a generous Babylist Store discount.
Company HQ
Emeryville, CA
Leadership
Natalie Gordon
(Founder & CEO)Former Software Engineer at Amazon. Initially founded Babylist as a side project and has since taken the company to a market leading status.
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