About the Company:

WAG is transforming how art and collectibles are valued, managed, and traded. Born from the merger of Winston Art Group (the largest independent appraisal and advisory firm in the U.S.) and Artory (a pioneer in art tokenization), we combine deep industry expertise with technologies like AI and blockchain to modernize a $2.9 trillion global asset class.

We're already generating significant revenue and recently raised our Series A from top-tier VCs. Now, we're building the next-generation platform to unlock liquidity, trust, and intelligence in the art market—and we're looking for exceptional engineers to help us do it.

Why Join Us:
- Meaningful equity and competitive compensation.
- High-impact role at a growing company with revenue, funding, and a compelling vision
- Build at the intersection of art, fintech AI,and blockchain.
- A collaborative, pragmatic team that values speed, clarity, and technical quality.
- Remote-versátil culture with an HQ in NYC.
- Backend by top VCs and trusted by leading collectors, advisors, and institutions.

Job Objective:





We're hiring a Senior Data Engineer to architect and scale the systems that power our AI-driven valuation tools, market analytics, and collector insights. You'll lead development of our data ingestion pipelines, enrichment workflows, and metadata infrastructure—from scraping and parsing messy real-world sources to preparing structured datasets that feed public indices,machine learning models and collector-facing tools.

This is a high-ownership role for someone who thrives at the intersection of data engineering, AI integration, and real-world asset intelligence. You'll work closely with backend engineers, domain experts, and product leadership to turn fragmented data into a competitive advantage.

Responsibilities:
- Design and operate scalable data ingestion and web scraping systems
- Build batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured

📌 VI Senior Data Engineer (México)
🏢 Qualifinds®
📍 México