Data Migration Engineer
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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 • MoeGo offers a competitive compensation package (base salary, performance bonus, and benefits). This includes flexible benefit plans to employees and their family members at no cost to the employees and 401(k) matching.
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
Benefits
• Equity options mentioned but no specific details provided. • Perks are suggested through mentioning a comprehensive technology solution and focus on customer service but no specific perks listed. • Remote work options explicitly stated as part of the job location flexibility.