Data Migration Engineer

MoeGo is dedicated to transforming the future of pet care businesses by providing comprehensive technology solutions. The Data Migration Engineer will lead data migration and quality efforts for complex clients, ensuring successful implementation of data strategies and resolving data quality issues.

Responsibilities:

• 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

Requirements:

• 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
• Experience with ETL concepts, data pipelines, or data orchestration tools
• Experience with automated data validation or testing approaches
• Working knowledge of SaaS infrastructure and data models
• Broader engineering exposure (basic familiarity with Java or Go is a plus)
• Experience with vertical SaaS, franchise systems, or multi-entity data models
• Background in data quality, data conversion, or large-scale system migrations