Senior Data Engineer

Babylist; Northern (KY); Hybrid; USD 186,000 - 223,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Remote work stipend

Paid parental leave

PTO

Job summary

Babylist is seeking a senior data engineer to own architecture and scalable data tooling. You will build agentic systems and ML pipelines, partnering with analysts and data scientists to enable reliable data infrastructure for a fast-growing platform.

We value production-grade engineering in AWS, Airflow, and dbt, with Snowflake and data modeling expertise. This remote-first team supports a 9M+ user base and AI-driven workflows daily.

Qualifications

• Experience building production AI/LLM systems and agentic workflows.
• Platform-minded with ability to automate repetitive data engineering tasks.
• 7+ years building scalable data systems in production environments.
• Proficient with Airflow and dbt; strong data modeling and ETL understanding.
• Comfortable with AWS (EC2, S3, Lambda, EKS) and Snowflake or similar.
• Able to translate analyst/scientist needs into robust infrastructure.
• A strong AI-oriented contributor who applies AI to speed up work.

Responsibilities

• Build and scale data pipelines for Snowflake ingestion with reliability.
• Design agentic systems to automate data engineering tasks.
• Develop ML pipelines to operationalize models within data infra.
• Improve data monitoring across multi-system journeys.
• Collaborate with analytics engineers on data modeling and assets.
• Partner with product, analyst, and ML teams for end-to-end solutions.

Skills

AI/LLM systems

Platform thinking

7+ years exp

Cross-functional

AI adoption

Production-grade eng

AI-first mindset

Hands-on AI tooling

Tools

Airflow

dbt

AWS

Snowflake

MCP servers

Job description

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 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.

How You Will Make An Impact

• 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

Why This Role

• 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.

About Compensation

We use a market-based approach to compensation. The starting salary range for this role is:

$186,086.000 - $223,270 + target 15% annual bonus

Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.

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.

Our Culture

• We work with focus and intention, then step away to recharge
• We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
• We build products that positively impact millions of people's lives
• AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts

Growth & Development

• Competitive pay and meaningful opportunities for career advancement
• We believe technology and data can solve hard problems
• We're committed to career progression and performance-based advancement
• Company-paid medical, dental, and vision insurance
• Retirement savings plan with company matching and flexible spending accounts
• Generous paid parental leave and PTO
• Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
• Remote work stipend to set up your office
• Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.

Interview Integrity. AI is part of how we work at Babylist — we expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.

How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.

Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.