Data Migration Engineer

At Monument, we’re building a vertical software platform for the self-storage industry. This is a rare opportunity to reinvent a $30 billion market from the ground up. Monument is a B2B SaaS platform built specifically for the self-storage industry. Our comprehensive solution integrates every essential feature operators and third-party managers need to run their self-storage businesses — from customer acquisition and payment processing to inventory management, physical access, move-ins and move-outs, delinquency management, and advanced reporting and analytics. Monument was designed from the ground up for multi-facility operators and offers enterprise-grade features such as portfolio-wide automation, REIT-level revenue management, and GAAP-compliant accounting. We are seeking a Senior Data Migration Engineer to lead customer data onboarding. Your core mission: migrate data, likely in flat file form, from competitor systems into our production relational database with high accuracy, speed, and minimal customer friction. Responsibilities: Own the end-to-end migration workflow for new customers. Design mapping strategies to transform competitor data into our unified schema. Build and maintain migration tooling (scripts, internal apps, reusable templates). Collaborate with Client Success and Product teams to resolve data discrepancies and edge cases. Optimize and automate recurring migration tasks to drive scalability. Diagnose and troubleshoot migration issues quickly and systematically. Continuously refine best practices for schema evolution, error handling, and data validation. Required Candidate Profile 5+ years of experience with data migrations (preferably SaaS customer onboarding or application migrations). Strong skills working with flat files (CSV, TSV, JSON) and building custom ETL pipelines Expertise in relational databases (MySQL preferred; Postgres or MariaDB also welcome) Proficiency in TypeScript (preferred), JavaScript, or Python for scripting migrations Hands-on experience with AWS services — especially, S3, and RDS/Aurora. Solid understanding of data modeling, schema mapping, and relational constraints (e.g., foreign keys, transactional integrity) Experience with Git and modern DevOps practices. Strong communicator able to work across technical and non-technical teams. Nice-To-Have Experience migrating production data into SaaS platforms. Familiarity with AWS tools like Lambda, SQS/SNS, ECS Exposure to NestJS and TypeORM ecosystems. Experience using low-code platforms like Retool or Superblocks to build internal apps.