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 equityand competitive compensation.High-impact role at a growing company with revenue, funding, and a compelling visionBuild at the intersection ofart, fintech AI,and blockchain.Acollaborative, pragmatic teamthat 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 scalabledata ingestion and web scraping systemsBuild batch and real-time pipelinesto normalize, enrich,



and version data across structured and unstructured sourcesDevelop systems to support LLM- and ML-baseddocument parsing, OCR, and classificationOwn the architecture of our data storage and processing stack, including Postgre SQL, data lakes, and data warehousesOperationalize AI/ML workflowsby preparing clean training and inference datasets with robust lineage, validation, and error handlingIntegrate outputwith backend APIs, valuation services, and frontend analytics dashboardsCollaborate across engineering and productto ship reliable, intelligent features quicklyContribute to our infrastructure tooling,including CI/CD, Ia C (Terraform), and data observabilityRequirements:B.
S in Computer Science or equivalentExperience:5+ years of experience building data platforms in production environments,ideally in startup or fast-moving contextsFluent inPython, SQL,and familiar with orchestration tools likeAirflow, Dagster, or TemporalHave designed or maintainedweb scraping pipelines at scale , using best practices around retries, proxies, and anti-bot strategiesUnderstand tradeoffs betweenETL and ELT,and have hands-on experience withdata lakes and data warehousesHave integratedstructured and unstructured sources,and enjoy resolving messy edge cases that come with real-world dataHave worked withLLM APIs or ML models in production , particularly for document understanding, NLP, or entity extractionThrive inAI-native environmentsand enjoy building tools that support intelligent automation and analyticsCare aboutclean architecture, versioning, reproducibility, and qualityin data systemsPreferred:Experience with art, collectibles, or other fragmented asset classes where clean data is rare but valuableFamiliarity with vector databases and semantic searchExperience with modern data stack tools (dbt, Fivetran, etc.)Knowledge of data governance and compliance requirementsPerksSchedule:Monday to Friday, 9:00 am to 6:00 pmModality:Full-time, Contractor, Remote in Mexico, Colombia, or ArgentinaSalary:$60,000 to $85,000 USD net annuallyEquityLocation:

📌 Ii Senior Data Engineer (Aguascalientes)
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📍 Aguascalientes