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Data Engineering & Automation Specialist - LATAM
ARS 20-40/day
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Summary: This is a hands-on builder role for an engineer to design and ship end-to-end automation systems, owning architecture, implementation, reliability, and delivery. Highlights: 1. Design and ship end-to-end automation systems 2. Own architecture, implementation, reliability, and delivery 3. Focus on workflow, AI document extraction, and financial reporting automation **Data Engineering & Automation Specialist - LATAM** ====================================================== Remote | US, Brazil, Colombia, Ecuador Full-Time | Contractor | Indefinite $20–$40 USD per hour **About the Company**Our client builds automation and analytics infrastructure for commercial real estate firms. They replace manual workflows with production-grade systems that automate broker deal intake, document extraction, financial normalization, and portfolio reporting. **The Role**We are hiring a hands-on engineer to design and ship end-to-end automation systems across two active client engagements. This is a builder role — not advisory. You will own architecture, implementation, reliability, and delivery. Core focus areas: * Workflow automation (n8n) * AI-powered document extraction (LLMs + Azure Document Intelligence) * Headless browser automation * Notion-based operational systems * Financial data normalization and reporting * Pipeline reliability (logging, retries, idempotency) **Key Responsibilities**### **1. Deal Intake Automation** * Monitor acquisitions inbox via n8n * Extract broker data and attachments * Classify documents (OM, rent roll, T12, etc.) using LLMs * Extract structured property data * Generate investment summaries * Create fully structured Notion deal records * Implement logging, retry logic, and error handling ### **2. Broker Portal Automation** * Build headless browser scripts (Playwright / Puppeteer) * Log into broker portals and execute CAs * Download deal room files * Route files into SharePoint pipeline * Maintain and adapt to UI changes **3. Notion System Architecture*** Design relational databases (Deals, Properties, Contacts, Tasks, Documents) * Migrate CRM and project management workflows * Build automation hooks via Notion API * Deliver persona-based dashboards **4. Asset Management Automation*** Parse PM reports (ResMan, AppFolio) * Normalize financials to Chart of Accounts * Build underwriting vs actual variance analysis * Auto-generate monthly and quarterly reports * Transcribe calls and auto-create tasks **Tech Stack*** n8n * Notion (API, relational databases) * Claude / GPT-4 / Azure OpenAI * Azure Document Intelligence * Playwright / Puppeteer * Python * PostgreSQL * Azure (Blob, Key Vault, OpenAI, Postgres) * SharePoint / M365 **Required Experience*** 5+ years in data or automation engineering * Production experience with n8n * Advanced Notion system builds * Headless browser automation * LLM-based classification and extraction * Strong Python and SQL * Azure experience * PDF and financial document processing **Nice to Have*** Commercial real estate exposure * Financial modeling or underwriting knowledge * Experience with property management systems * CRM migrations **What Success Looks Like*** End-to-end automated deal intake pipeline * Reliable broker portal automation * Notion operating as single source of truth * Clean document extraction at scale (50–100 deals/month) * Automated financial reporting and variance analysis * Stable, logged, production-grade workflows

Source:  indeed View original post
Sofía González
Indeed · HR

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