5 часов назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI) (Python/AWS/Snowflake): Building reliable data pipelines, ML infrastructure, and agentic systems that generate, test, and maintain data engineering workflows for a large e-commerce platform with an accent on production AI/LLM tooling, platform automation, and scalable data infrastructure. Focus on designing pipeline-generation systems, operationalizing machine-learning models, monitoring complex user journeys, and improving the reliability and performance of shared data assets.
Location: Remote in Canada
Company
is an AI-forward e-commerce platform serving expecting and new families through shopping, guidance, healthcare, financial, content, and showroom products.
What you will do
- Build and scale reliable, high-performance data ingestion pipelines for Snowflake across a large e-commerce business.
- Design and ship agentic systems that automate pipeline generation, testing, and maintenance.
- Develop and maintain ML pipelines that help data scientists operationalize models and integrate them with data infrastructure.
- Implement and improve monitoring across complex, multi-system user journeys.
- Collaborate with Analytics Engineers on data modeling and shared data asset reliability.
- Partner with product, analyst, and ML teams to deliver end-to-end data and AI solutions.
Requirements
- Must be located in Canada for this remote role.
- 7+ years of experience building production-grade systems at scale.
- Production experience with AI/LLM systems, including RAG pipelines, agentic workflows, and tool integrations.
- Deep Python expertise and strong data engineering fundamentals, including data modeling and ETL.
- Proficiency with Airflow and dbt.
- Experience with AWS data resources including EC2, S3, Lambda, and EKS, plus Snowflake or a comparable cloud data warehouse.
Culture & Benefits
- Remote-first work across the U.S. and Canada, with company gatherings twice a year.
- AI tools such as Claude and ChatGPT are provided for daily work.
- Company-paid medical, dental, and vision insurance.
- Retirement savings plan with company matching, flexible spending accounts, paid parental leave, and PTO.
- Paid company-wide Winter Wonder Week at the end of the year.
- Remote work stipend plus support for physical, mental, emotional, parenting, childcare, and financial well-being.
Hiring process
- Interviews may be recorded and transcribed for evaluation in accordance with applicable privacy laws.
- AI may be used during the application and interview process, but submissions and interviews must reflect the candidate's own thinking.
- Applications are supported by AI screening and assessment tools, with final decisions made by people.
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