Data Migration Engineer

Location: Remote - US or Canada

Department: Enterprise

Reports to: Data Migration Manager

About MoeGo 🐾

MoeGo is on a mission to transform the future of pet care business, from small-business groomers to franchise doggie hotels. The dedicated entrepreneurs behind these businesses keep our beloved pets happy and healthy—the majority of them are first-time business owners, and more than 80% are women. They deserve comprehensive technology solutions that keep their businesses operating smoothly end-to-end, so they can focus on healthy pets and happy pet parents.

Join us to help these “pet-repreneurs” build and grow thriving businesses—every conversation with a customer and every feature goes toward this larger purpose. From automated booking to payments and communication tools, MoeGo eliminates the administrative stress of running a pet care business. If you’re looking for a career that combines innovation with heart, MoeGo is the place where technology meets tail wags. Join us in shaping the future of pet care, one happy groomer, one joyful pet, and one loving owner at a time.

About the Role

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. 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.

Key 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

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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.

MoeGo is committed to creating a diverse and inclusive work environment, and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status.