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 integral 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 equityand competitive compensation.
High-impact role at a growing company with revenue, funding, and a compelling vision
Build at the intersection ofart, fintech AI,and blockchain.
Acollaborative, pragmatic teamthat 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 scalabledata ingestion and web scraping systems
Build batch and real-time pipelinesto normalize, enrich, and version data across structured and unstructured sources




Develop systems to support LLM- and ML-baseddocument 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 workflowsby preparing clean training and inference datasets with robust lineage, validation, and error handling
Integrate outputwith backend APIs, valuation services, and frontend analytics dashboards
Collaborate across engineering and productto ship reliable, intelligent features quickly
Contribute to our infrastructure tooling,including CI/CD, Ia C (Terraform), and data observabilityRequirements:
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 inPython, SQL,and familiar with orchestration tools likeAirflow, Dagster, or Temporal
Have designed or maintainedweb scraping pipelines at scale , using best practices around retries, proxies, and anti-bot strategies
Understand tradeoffs betweenETL and ELT,and have hands-on experience withdata lakes and data warehouses
Have integratedstructured and unstructured sources,and enjoy resolving messy edge cases that come with real-world data
Have worked withLLM APIs or ML models in production , particularly for document understanding, NLP, or entity extraction
Thrive inAI-native environmentsand enjoy building tools that support intelligent automation and analytics
Care aboutclean architecture, versioning, reproducibility, and qualityin data systemsPreferred:
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 requirementsPerksSchedule: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
EquityLocation:

📌 Vi Senior Data Engineer (Monterrey)
🏢 Qualifinds®
📍 Monterrey