**SR DATA ENGINEER \- REMOTE** 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. **Requirements:** B.S in Computer Science or equivalent Experience 5\+ years of experience building data platforms in production environments 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 Experience with GCP, Node.js/JavaScript and Vercel FLUENT ENGLISH IS A MUST **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 **Perks** 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. Tipo de puesto: Tiempo completo, Por tiempo indeterminado Sueldo: Hasta $125,000\.00 al mes Experiencia: * Python: 3 años (Obligatorio) * SR DATA ENGINEER: 5 años (Obligatorio) Idioma: * Ingles (Obligatorio) Lugar de trabajo: Empleo remoto