Data Migration Engineer at Applied Systems in Remote

Summary: Applied Systems, Inc. is a worldwide leader in insurance technology, currently searching for a Data Migration Engineer to join their Data Services team. The 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. Responsibilities: - 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 tooling to improve migration speed, scalability, and quality, and provide feedback that helps shape how these tools are adopted responsibly - Contribute to custom solution delivery and continuous improvement initiatives that advance Data Services capabilities, tooling, and processes Required Qualifications: - Strong foundational knowledge of database structures and SQL, with demonstrated experience applying these skills in real world data migration, integration, or transformation scenarios - Solid understanding of ETL concepts, data mapping, and data quality best practices - Comfort working in a collaborative, global team environment where work is shared across regions to maintain continuous delivery - Ability to manage multiple competing project timelines while remaining highly detail oriented and customer focused - Strong sense of ownership and initiative, balanced with the ability to align work to shared team standards, processes, and delivery goals - Clear and effective communication skills, including the ability to collaborate comfortably with engineering teams and non‑technical stakeholders - Bachelor's degree or equivalent practical experience in Information Systems, Computer Science, Data Science, Software Engineering, or a related discipline Preferred Qualifications: - Hands-on experience supporting SaaS data migration or ETL initiatives in a production environment - Experience or exposure to Google Cloud Platform (GCP), including BigQuery and Cloud Storage - Experience working with automation frameworks, scripting, or intelligent tools to support data analysis, migration, or quality assurance - Interest in helping evaluate, validate, or refine AI assisted or agent-based workflows as part of future data migration capabilities - Experience using Jira, SharePoint, or similar tools to track work, collaborate across teams, and document technical processes Required Skills: SQL, Database structures, Data migration, Data integration, Data transformation, ETL concepts, Data mapping, Data quality best practices, Google Cloud Platform, BigQuery, Cloud Storage, Automation frameworks, Scripting, Jira, SharePoint Benefits: Medical, Dental, and Vision Coverage, Holiday and Vacation Time, Health & Wellness Days, A Bonus Day for Your Birthday