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8 дней назад

Data Migration Engineer (Insurance Technology)

60 000 - 90 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Migration Engineer (SQL/Insurance Technology): Migrating customer data from legacy and competitor systems into Applied Systems SaaS products with an accent on SQL-based tooling, ETL, data quality, and business continuity. Focus on developing repeatable migration workflows, validating data integrity, collaborating across global teams, and increasingly using BigQuery and intelligent automation.

Location: Remote within the US, specifically Chicago, Dallas, or Atlanta.

Salary: $60,000–$90,000 USD annual base salary.

Company

hirify.global builds insurance technology platforms, data, and intelligent systems connecting agencies and carriers across the insurance lifecycle.

What you will do

  • Execute assigned components of end-to-end customer data conversion and migration from legacy and competitor systems into hirify.global SaaS products, using SQL-based tooling to produce sample and final deliveries.
  • Perform data extraction, acquisition mergers, transformation, cleanup, auditing, and validation to maintain accuracy, integrity, consistency, and business continuity.
  • Develop standardized, efficient, repeatable data scripts and workflows, and analyze customer data and competitor system structures to improve migration quality and efficiency.
  • Work directly with customers and internal stakeholders to understand requirements, manage expectations, and deliver customized migration solutions.
  • Collaborate with Onboarding and Success Services, Development, Operations, Solution Services, and Support on testing, defect resolution, enhancements, implementation, and documentation.
  • Contribute to a global Follow the Sun delivery model, adapt to changing plans and timelines, and increasingly use cloud data platforms and intelligent automation to improve migration speed, scalability, and quality.

Requirements

  • 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.
  • Ability to work collaboratively in a global team environment with work shared across regions for continuous delivery.
  • Ability to manage multiple competing project timelines while remaining detail-oriented and customer-focused.
  • Strong ownership and initiative, with the ability to align work to shared standards, processes, and delivery goals.
  • Clear communication skills and the ability to collaborate 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.

Nice to have

  • Hands-on experience with SaaS data migration or ETL initiatives in a production environment.
  • Experience or exposure to Google Cloud Platform, including BigQuery and Cloud Storage.
  • Experience with automation frameworks, scripting, or intelligent tools for data analysis, migration, or quality assurance.
  • Interest in evaluating, validating, or refining AI-assisted or agent-based workflows for future data migration capabilities.
  • Experience using Jira, SharePoint, or similar tools for work tracking, collaboration, and technical documentation.

Culture & Benefits

  • Work on products, services, and programs supporting agencies, carriers, and teammates across the insurance lifecycle.
  • Own meaningful decisions with visibility into customer needs and business priorities.
  • Access learning opportunities, cross-functional exposure, stretch work, and opportunities to expand scope.
  • Collaborate with colleagues who value expertise, curiosity, care, and shared accountability.
  • Receive medical, dental, and vision coverage, holiday and vacation time, health and wellness days, and a birthday day off.

Hiring process

  • Employment is contingent on successful completion of applicable background checks and verification steps.
  • Recruiting communications are sent through an @appliedsystems.com email address or the official careers portal.
  • AI-enabled tools may support application organization, scheduling, and workflow administration; hiring decisions include human review.

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