You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Posted 5 months ago
warning
Heads-up
Requirements and responsibilities
About Winston Artory GroupWAG 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 UsMeaningful equity and competitive compensationHigh-impact role at a growing company with revenue, funding, and a compelling visionBuild at the intersection of art, fintech, AI, and blockchainA collaborative, pragmatic team that values speed, clarity, and technical qualityRemote-flexible culture with an HQ in NYCBacked by top VCs and trusted by leading collectors, advisors, and institutionsAbout the roleLocationArgentina (Remote)The RoleWe'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.What You'll DoDesign and operate scalable data ingestion and web scraping systemsBuild batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured sourcesDevelop systems to support LLM- and ML-based document parsing, OCR, and classificationOwn the architecture of our data storage and processing stack, including PostgreSQL, data Lakes, and data warehousesOperationalize AI/ML workflows by preparing clean training and inference datasets with robust lineage, validation, and error handlingIntegrate output with backend APIs, valuation services, and frontend analytics dashboardsCollaborate across engineering and product to ship reliable, intelligent features quicklyContribute to our infrastructure tooling, including CI/CD, IaC (Terraform), and data observabilityYou Might Be a Fit If YouRequired:Education: B.S. in Computer Science or equivalentLanguage: Fluency in English (written and spoken)Experience: 5+ years of experience building data platforms in production environments, ideally in startup or fast-moving contextsTechnical Skills:Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or TemporalHave designed or maintained web scraping pipelines at scale, using best practices around retries, proxies, and anti-bot strategiesUnderstand tradeoffs between ETL and ELT, and have hands-on experience with data lakes and data warehousesHave integrated structured and unstructured sources, and enjoy resolving messy edge cases that come with real-world dataHave worked with LLM APIs or ML models in production, particularly for document understanding, NLP, or entity extractionThrive in AI-native environments and enjoy building tools that support intelligent automation and analyticsCare about clean architecture, versioning, reproducibility, and quality in 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 requirementsWe offer great benefits, including:A Welcoming TeamA friendly, international team working with modern, cutting-edge technologiesCollaborative, inclusive, and supportive company cultureTransparent communication and regular feedbackTeam-building activities and virtual social eventsEmployee recognition and appreciation programsCompensationSalary aligned with experience, skills, and local market benchmarkingDiscretionary performance-based bonusesEquity option grants of company shares, offering alignment with company successHealth & FlexibilityFlexible remote work environmentPaid time off, including vacation, sick leave, and local holidayAdditional leave for bereavement or family emergenciesGrowth & DevelopmentOpportunities for continuous learning and skill developmentAccess to training, courses, and knowledge-sharing sessionsMentorship and leadership development initiativesPlease note: English fluency is required. Interviews will be conducted in English.¿Te suena interesante? ¡Esperamos recibir tu candidatura!
Optionally, you can add more information later (benefits, pre-screening questions, etc.)