Data Migration Engineer, MoeGo

• This role requires strong technical depth, high autonomy, and the ability to lead client-facing data discovery and mapping sessions without heavy oversight
• Because our organization is flat and highly collaborative, we are looking for someone who already operates at enterprise scale, takes ownership of outcomes, and can grow into broader technical or leadership responsibilities over time
• 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

Desirable

• Reports to: Data Migration Manager
• As a Data Manager – Enterprise at MoeGo, you will own and lead data migration and data quality efforts for our most complex and high-impact customers
• This is not a passive data support role. You will operate as the primary technical owner for data conversion, cleansing, validation, and migration across large, multi-location and franchise implementations
• You will work directly with customers and cross-functional teams to design and execute data migration strategies, resolve complex data quality issues, and ensure successful cutovers into the MoeGo platform
• 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