Job Overview
Location
United States
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, ensuring reliability and performance for a $750M+ e-commerce business.
- • 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 core data infrastructure.
- • Implement and improve data monitoring across complex, multi-system user journeys to ensure data quality and system integrity.
- • Collaborate with Analytics Engineers to refine data modeling and enhance the reliability of shared data assets used across the organization.
- • 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 platforms that empower data engineering workflows, including RAG pipelines, agentic workflows, and tool integrations like MCP servers.
- • Leverage Python and production-grade data engineering practices to build scalable systems that support high-velocity decision-making across product, operations, and AI teams.
- • Utilize Airflow and dbt to implement robust ETL principles and data modeling, going beyond tool usage to understand underlying data flow and transformation logic.
- • Provision and manage cloud data resources on AWS, including EC2, S3, Lambda, and EKS, to support scalable and secure data infrastructure.
- • Work cross-functionally with analysts and data scientists to translate their analytical needs into robust, maintainable data infrastructure that serves real business use cases.
- • Stay ahead of emerging AI capabilities and integrate them proactively into daily workflows — using AI not as an experiment but as an expectation to accelerate output and reduce busywork.
- • Contribute to a data infrastructure that is already solid and reliable, with the mandate to extend, automate, and future-proof it during a pre-IPO growth phase.
- • Influence how a 9M+ user platform scales its data systems to support expansion into Babylist Shop, Babylist Health, Babylist Money, and other ecosystem initiatives.
- • Operate in a remote-first environment where AI is embedded in daily work, with access to leading tools like Claude and ChatGPT from day one.
🎯 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 data engineering practices
- • Proficiency with Airflow and dbt, including understanding of data modeling and ETL principles
- • Hands-on experience provisioning and managing AWS cloud resources (EC2, S3, Lambda, EKS)
- • Familiarity with Snowflake or comparable modern cloud data warehouses
🏖️ 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 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.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
Anyone AI Inc.
2 months ago
SimSpace Corporation
2 months ago
2 months ago
Compa Technologies, Inc.
2 months ago