IX Sr. Data Engineer

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-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 Sr. 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 PostgreSQL, 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, IaC (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: Remote in Mexico, Colombia or Argentina

Salary: $100,000 to $160,000 USD net annually + Equity