Job Overview
Location
Canada
Job Type
Full-time
Category
Software Engineering
Date Posted
July 6, 2026
Full Job Description
đź“‹ Description
- • Build and scale production-grade data pipelines for ingestion into Snowflake, supporting a $750M+ e-commerce business with reliability and high performance.
- • Design and ship agentic systems that automate data engineering tasks including pipeline generation, testing, and maintenance — creating self-sustaining infrastructure rather than one-off builds.
- • Develop and maintain ML pipelines that enable data scientists to operationalize models and integrate them seamlessly with the company’s data infrastructure.
- • Implement and improve data monitoring across complex, multi-system user journeys to ensure data quality and system reliability.
- • Collaborate with Analytics Engineers to refine data modeling and ensure the integrity and reliability of shared data assets across teams.
- • Partner with product, analyst, and machine learning teams to deliver end-to-end data solutions — from raw data ingestion through advanced analytics and AI-driven applications.
- • Own the architecture of AI-native tooling and platform systems that elevate data engineering itself — focusing on scaffolding, harnesses, and agentic workflows that generate and maintain data pipelines autonomously.
- • Leverage AI tools daily in your work, using RAG pipelines, agentic workflows, and tool integrations (e.g., MCP servers) to accelerate output and improve system efficiency.
- • Work cross-functionally with data scientists and analysts to translate their analytical needs into scalable, production-ready infrastructure that serves real business use cases.
- • Provision and manage cloud data resources on AWS, including EC2, S3, Lambda, and EKS, ensuring secure, efficient, and cost-effective data operations.
- • Apply deep fluency in Python and production-grade data engineering practices to build systems that operate reliably at scale over 7+ years of experience.
- • Utilize Airflow and dbt with a strong understanding of data modeling and ETL principles, not just tool configuration.
- • Maintain familiarity with Snowflake or comparable modern cloud data warehouses to support scalable analytics and reporting.
- • Contribute to a data infrastructure that is already solid, with the mandate to extend, automate, and future-proof it during a pre-IPO growth phase.
- • Operate in a remote-first environment where AI is embedded in daily workflows, not an experiment — using leading tools like Claude and ChatGPT from day one to eliminate busywork.
- • Influence how a 9M+ user platform scales its data systems during a critical growth period, directly impacting product, operations, and AI initiatives across the business.
🎯 Requirements
- • 7+ years of experience building production-grade data engineering systems at scale
- • Proven experience building production AI/LLM systems including RAG pipelines, agentic workflows, and tool integrations (e.g., MCP servers)
- • Deep fluency in Python and production-grade data engineering with expertise in Airflow and dbt
- • Proficiency in AWS (EC2, S3, Lambda, EKS) and familiarity with Snowflake or similar cloud data warehouses
- • Experience working cross-functionally with data scientists and analysts to translate needs into infrastructure
- • Genuine, hands-on use of AI tools in daily work, with curiosity and initiative to leverage AI for efficiency and innovation
🏖️ Benefits
- • 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: company-wide paid week off at year-end
- • Remote work stipend to set up your home office
- • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Babylist Inc.
Babylist operates an online baby registry platform that lets expectant parents add items from any retailer, book services, and create cash funds. It aggregates products across major stores, offers a universal registry browser button, and provides personalized checklists. The company also sells its own line of baby merchandise, including nursery furniture, strollers, and accessories, through its e-commerce storefront. Headquartered in Oakland, California, Babylist supports parents with expert guides, product reviews, and a mobile app for managing registries, tracking gifts, and coordinating shipping to recipients.
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