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 general 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-flexible 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 sources Develop systems to support LLM- and ML-based
document parsing, OCR, and classification Own the architecture of our data storage and processing stack, including Postgre SQL, data lakes, and data warehouses Operationalize AI/ML workflows
by preparing clean training and inference datasets with robust lineage, validation, and error handling Integrate output
with backend APIs, valuation services, and frontend analytics dashboards Collaborate across engineering and product
to ship reliable, intelligent features quickly Contribute to our infrastructure tooling,
including CI/CD, Ia C (Terraform), and data observability
Requirements: B. S in Computer Science or equivalent Experience:
5+ years of experience building data platforms in production environments,ideally in startup or fast-moving contexts Fluent in
Python, SQL,
and familiar with orchestration tools like
Airflow, Dagster, or Temporal Have designed or maintained
web scraping pipelines at scale , using best practices around retries, proxies, and anti-bot strategies Understand tradeoffs between
ETL and ELT,
and have hands-on experience with
data lakes and data warehouses Have integrated
structured and unstructured sources,
and enjoy resolving messy edge cases that come with real-world data Have worked with
LLM APIs or ML models in production , particularly for document understanding, NLP, or entity extraction Thrive in
AI-native environments
and enjoy building tools that support intelligent automation and analytics Care about
clean architecture, versioning, reproducibility, and quality
in data systems
Preferred: Experience with art, collectibles, or other fragmented asset classes where clean data is rare but valuable Familiarity with vector databases and semantic search Experience with modern data stack tools (dbt, Fivetran, etc.) Knowledge of data governance and compliance requirements
Perks
Schedule:
Monday to Friday, 9:00 am to 6:00 pm Modality:
Full-time, Contractor, Remote in Mexico, Colombia, or Argentina Salary:
$60,000 to $85,000 USD net annually Equity
Location:

📌 Ii senior data engineer (León)
🏢 Qualifinds®
📍 León