rippling
Data Migration Engineer
gaiia
Remote, CAN
Full-time
Mid · 3+ years experience
Remote
Discovered 3 weeks ago
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🎭 Role & Team
We're looking to hire a Data Migration Engineer to own the technical execution of data migrations that move customers from legacy systems into gaiia. You'll join the Migration Solutions team, which owns the end-to-end delivery of customer migrations. Within that team, you own the data — exploring source systems, exporting it, transforming it into gaiia's standard format, and driving its execution to a validated, production-ready state.
You'll partner closely with the Data Migration Specialist — who owns the customer relationship and migration design — working from the business context and mapping rules they hand off. You'll also work alongside the Migration Platform team, who build and maintain the internal tooling that runs migrations: you'll live in it daily, improve it where you can, and specify the larger needs for them to build. This is a hands-on engineering role for someone who likes turning messy, real-world data into something clean, repeatable, and trusted.
💻 What You're Going to Do
Explore legacy source systems (databases, flat files, reports, APIs) to understand their structure, quality, and relationships in the context of gaiia's data model.
Export source data across a range of access methods — SQL, APIs, manual extracts, and database backups.
Transform exported data into gaiia's standard format by authoring declarative, version-controlled mapping files that encode the business rules defined with the Data Migration Specialist.
Execute migrations end-to-end on the internal migration platform: load, validate against target schemas, reconcile, and import to production.
Build and reuse mappings, templates, and validation rules so each migration is faster and more repeatable than the last.
Contribute small engineering improvements to the migration tooling — new validation rules, transforms, mapping updates — and raise larger needs to the Migration Platform team.
Diagnose and resolve data discrepancies during dry runs, UAT, and post-cutover.
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