Own end-to-end data migration execution for enterprise and multi-location customers from discovery through cutover and validation
Lead client-facing data discovery and data mapping sessions to define source structures, transformation rules, and migration scope
Profile, cleanse, normalize, deduplicate, and transform large datasets using Python and Pandas
Write advanced SQL queries (MySQL and PostgreSQL) to validate, transform, and reconcile migrated data
Define and apply business rules for matching, merging, and record standardization
Build repeatable migration scripts and reusable data transformation workflows using version control best practices
Partner with Implementation, Solutions Engineering, Product, and Support to resolve data-related blockers and edge cases
Create clear technical documentation including data mapping specs, transformation logic, validation plans, and migration runbooks
Design and execute data validation and integrity checks before and after migration
Identify risks early and define rollback or remediation approaches when needed
Contribute to continuous improvement of MoeGo’s migration tooling, standards, and playbooks

3+ years of hands-on experience in data management, data migration, or data conversion roles
Strong Python experience with heavy use of the Pandas library for data manipulation and transformation
Advanced SQL skills, specifically with MySQL and PostgreSQL
Proven experience executing complex data cleansing, normalization, and deduplication work
Experience using Git or other version control systems
Client-facing experience leading data kickoff, discovery, and mapping sessions independently
Strong technical documentation skills and the ability to clearly explain data issues and requirements
Experience owning migration outcomes — not just assisting or supporting tasks

flexible benefit plans to employees and their family members at no cost to the employees
401(k) matching

Data Migration Engineer

Key skills