Data Specialist | Remote

hace 2 semanas


WorkFromHome, Colombia Property Leads, LLC A tiempo completo

Colombia / Mexico / Argentina / Peru - Remote (any location) Language Requirement: Fluent in spoken and written English, Fluent in Spanish Technical requirement: Mongo DB experience Employment Type: Full-Time About Property Leads Property Leads is a fast-growing, high-velocity lead generation company helping professionals acquire motivated, inbound leads through cutting-edge digital marketing. We’re obsessed with speed, execution, and results—and we thrive by working smarter, not with more overhead. Our team combines marketing performance, data operations, and automation to unlock growth—and we’re looking for builders who take full ownership, think critically, and move quickly. Role Overview We’re looking for a sharp, resourceful Data Specialist to join our growing technical team. This role sits at the intersection of data, integrations, and partner enablement — helping us streamline backend systems, connect data sources, and power real-time dashboards that keep our business running smoothly. You’ll work hands‑on with tools like MongoDB, Airtable, and Retool, build and maintain API integrations, and support partner onboarding by managing the technical setup behind the scenes. If you’re someone who loves solving operational challenges with clean, scalable code and a data-driven mindset — you’ll fit right in. Key Responsibilities Design, maintain, and optimize backend workflows across MongoDB and SQL-based environments. Write, debug, and optimize database queries, schemas, and stored procedures for performance and scalability. Ensure data consistency, reliability, and accuracy across connected systems. Develop and maintain RESTful API integrations between internal systems, Airtable, and partner platforms. Implement secure data synchronization logic across multiple tools and services (e.g., Airtable → Retool → MongoDB). Troubleshoot and resolve API connectivity issues and data flow bottlenecks. Build and manage dynamic dashboards in Airtable and Retool to support internal teams and partner reporting. Translate complex data models into simple, actionable views for non-technical stakeholders. Collaborate with business and operations teams to automate workflows and improve visibility into key metrics. Support the technical onboarding of new partners — configuring access, connecting data sources, and ensuring successful integrations. Serve as a technical liaison to help partners understand how our data and systems connect. Document setup processes and maintain internal playbooks for repeatable partner integrations. Participate in QA and testing of integrations, database scripts, and automation pipelines. Contribute to internal technical documentation for systems and APIs. What We’re Looking For Required Skills & Experience Fluent English and Spanish communication skills (written + verbal) Meticulous attention to detail—nothing slips through the cracks Track record of owning complex operational projects from start to finish Strong analytical mindset; ability to validate data and surface discrepancies Comfortable working autonomously in a fast-paced environment Experience with vendor onboarding, marketing ops, or partner integrations Preferred (Not Required) Experience Background in Engineering, CS, or a technical operations role Hands‑on experience with APIs, integrations, and technical documentation Familiarity with marketing analytics, attribution, and funnel measurement Exposure to automation tools (Zapier, Make, internal scripts, etc.) Interest in or familiarity with AI tools like ChatGPT, Claude, or Gemini You’ll Thrive If You: Have obsessive documentation and process hygiene Take full ownership of problems without needing a playbook Think strategically about scaling operations, but act with urgency Are proactive in spotting issues before they escal Can communicate clearly across technical and business functions Why Join Property Leads? High-impact role with clear ownership and visibility Join a lean, high‑growth startup solving real-world performance problems


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