Role Description Our client is seeking a detail-oriented and client-focused Scheduling Specialist & Data Entry (Escrow) to support their fast-paced real estate closing operations. This role serves as the critical connection between escrow officers, notaries, and home buyers, ensuring every signing experience is smooth, accurate, and professionally managed. We are looking for someone with exceptional communication skills, a strong service mindset, and outstanding attention to detail. This is more than an administrative role; it’s an opportunity to become a trusted operational partner within a growing company that values precision, professionalism, and long-term collaboration. Responsibilities - Client Coordination & Scheduling - Manage outbound calls to home buyers and renters to coordinate notary signing appointments - Provide a warm, professional, and service-oriented customer experience - Confirm scheduling details and ensure smooth communication between all parties involved - Data Entry & Quality Assurance - Review and enter file information with a high level of accuracy - Verify documentation and appointment details to prevent errors or delays in closings - Maintain organized and accurate digital records and workflows - Client Support & Communication - Act as a professional representative of the Caffeinated Closers brand - Respond to client questions and provide timely updates throughout the signing process - Ensure clients feel supported, informed, and prioritized at every stage - Operational Support - Assist with maintaining workflow organization and task tracking - Ensure documentation and processes meet company quality standards - Collaborate with internal teams to support efficient day-to-day operations Qualifications - 2 years of experience in administrative roles or similar fields - Excellent English communication skills (written and verbal) - Strong customer service and phone communication skills - High attention to detail with an accuracy-focused mindset - Ability to manage multiple tasks and maintain organization in a fast-paced environment - Reliable home office setup with high-speed internet and a quiet workspace - Availability to work 9:00 AM – 5:00 PM Pacific Time - Must be based in LATAM Requirements - Previous experience in customer service, real estate, escrow, title, or mortgage industries (Nice to Have) - Experience scheduling appointments or coordinating operations (Nice to Have) - Familiarity with CRM systems or administrative workflow tools (Nice to Have) - Experience handling sensitive documentation or client information (Nice to Have) Benefits - Work remotely Monday - Friday, 40 hours a week (no weekends) - Vacation: 10 business days a year - Holidays: 5 National Holidays a year - Company Holidays: 5 Company Holidays a year (Christmas Eve, Christmas Day, New Year's Eve, New Year's Day, Zipdev Day) - Parental Leave - Health Care Reimbursement - Active Lifestyle Reimbursement - Quarterly Home Office Reimbursement - Payroll Deduction Purchase Plans - Longevity Bonus - Continuous Learning Bonus - Access to Training and Professional Development Platforms

• Design, develop, and maintain scalable and reliable data pipelines • Build and optimize ETL/ELT processes to ingest data from multiple sources • Develop and manage data models in BigQuery to support analytics and reporting • Implement automated workflows and scheduling using Airflow • Ensure data quality, integrity, and performance across pipelines • Collaborate with cross-functional teams to gather requirements and deliver data solutions • Apply CI/CD best practices to support efficient and reliable deployments • Troubleshoot and resolve data pipeline and performance issues

• Work on a project for data migration and quality initiative • Prepare, cleanse, and reconcile data across systems • Ensure a clean, consistent, and compliant dataset • Collaborate with a team that values rigour and precision

• Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment. • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake. • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements. • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. • This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud. • Written and oral presentations to high-level CIO management on status of current efforts. • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. • Typically has specialization in a particular technology or business application. • Keeps abreast of technological developments and industry trends. • Assist with deployment, configuration, and management of Azure Cloud environment. • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment. • Ability to share optimization and efficiencies with the larger team and management. • Ability to automate solutions to repetitive problems/tasks.