Senior Data Engineer – AI

🕒 June 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Material Bank

WebsiteLinkedInAll Job Openings

201 - 500 employees

📦 Logistics

💼 Consulting

🏪 Marketplace

Logistics • Consulting • Marketplace

Material Bank is the world's largest online marketplace dedicated to the architecture and design (A&D) industry, providing a seamless platform for sourcing and sampling materials. Catering exclusively to A&D professionals, it offers access to over 300 leading brands and 40,000+ products across various categories. Material Bank ensures next-day delivery of samples at no cost to architects and designers, enabling them to streamline their workflow and focus on sustainable finishes for diverse projects. It also connects manufacturers with thousands of specifiers monthly, offering leads on-demand for significant brand visibility and return on investment.

📋 Description

• Design, build, and operate production grade AI agents • Lead development of scalable AI and data services • Serve as internal expert on Snowflake Cortex • Apply modern agent architecture patterns to build reliable and cost efficient AI systems • Partner with Analytics & Insights team to design and maintain semantic layers • Build and maintain scalable data pipelines, transformations, and models using Snowflake, dbt, Airflow • Collaborate across teams to translate ambiguous business problems into designed AI and data solutions • Establish engineering standards for agentic systems

🎯 Requirements

• 5+ years of experience in data engineering, AI/ML engineering, or related fields • Strong understanding of modern agent development patterns including RAG, vector search, prompt engineering • Deep expertise in Snowflake including performance optimization and scalable data modeling approaches • Production experience with dbt and Airflow • Strong Python engineering skills • Solid experience working within AWS environments including services such as S3, IAM, Lambda • Hands on experience using AI powered engineering tools such as Claude Code • Excitement about specializing in Snowflake Cortex and helping define AI platform strategy

🏖️ Benefits

• Flexible PTO • Sick Days • Paid National Holidays • Health Benefits: Contribution to medical, dental, vision, and short/long-term disability plans • Strong employee assistance program • 401(k) eligible after first 90 days of employment • Sponsorship of multiple events to help out communities • Growth opportunities to enhance career