Job Description
Applied Systems , Inc., a worldwide leader in insurance technology, is currently searching for a Data Migration Engineer to join our Data Services team. This role is responsible for migrating customer data from competitor and legacy systems into Applied Systems SaaS products while ensuring business continuity, data quality, and customer satisfaction.
As a strategic contributor within Data Services, the Data Migration Engineer works closely with new and existing customers to deliver high quality, customized data migration solutions that support unique business needs. The role collaborates cross functionally with teams across Onboarding and Success Services, Development, Operations, Solution Services, and Support to deliver complex, end-to-end migration outcomes.
While this role involves taking ownership of assigned tasks and tickets, it operates as part of a global Data Services team leveraging a Follow the Sun delivery model to keep data moving across regions and time zones. Success in this role requires strong attention to detail, adaptability, and the ability to contribute effectively to a broader team-based delivery motion as tools, platforms, and processes continue to evolve.
What You’ll Do
- Own and execute assigned components of end-to-end data conversion and migration efforts from legacy systems to Applied Systems SaaS products, producing sample and final deliveries using SQL-based tooling
- Perform data extractions, acquisition mergers, transformations, and data cleanup/quality services to support a wide range of customer scenarios and business requirements
- Develop standardized, efficient, and repeatable data scripts and workflows; perform audits and validation to ensure data accuracy, integrity, and consistency throughout the migration lifecycle
- Work directly with customers and internal stakeholders to understand requirements, manage expectations, and deliver migration outcomes that maintain business continuity
- Contribute to a global delivery model by completing work independently while ensuring smooth handoffs and continuity across teams operating in different regions and time zones
- Remain adaptable to changing project plans and timelines, adjusting execution approaches as rescheduling or contingency planning is required
- Collaborate closely with Development teams to support testing, defect resolution, enhancements, and implementation of new or evolving solutions, while maintaining clear and accurate Data Services documentation
- Conduct ongoing analysis of customer data and competitor system structures, identifying opportunities to improve transformation efficiency and solution quality
- As Data Services tooling evolves, increasingly leverage cloud-based data platforms such as BigQuery to support migration workflows and downstream integrations
- Utilize emerging automation and intelligent