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We’re looking for a Data Migration Engineer to join the client’s team and support ongoing data migrations for new customer implementations. This is a hands-on, individual contributor role suited for someone with experience in corporate or enterprise data migrations who is comfortable working in a fast-moving, startup-style environment. You’ll be responsible for migrating client data from previous vendors into the platform—often working with raw, imperfect datasets—while collaborating directly with internal teams and, at times, with clients. Over time, you’ll also help move the team toward better tooling and automation.
Job Responsibility:
Execute end-to-end data migrations for new client implementations
Extract, map, clean, and import data from legacy systems into the platform
Build and maintain custom, manual data importers using Python and SQL
Review test data with clients, gather feedback, and iterate on migration results
Manage and prioritize multiple concurrent migrations aligned with account go-live timelines
Collaborate closely with another Data Migration Engineer and cross-functional teams
Contribute ideas toward automation and process improvements as the platform evolves
Requirements:
Professional experience working on data migrations or ETL workflows in a corporate or enterprise context
Strong hands-on experience with Python for data manipulation and transformation
Solid knowledge of SQL and relational databases
Experience with manual data mapping, cleaning, and validation
Ability to work with raw, inconsistent, or incomplete datasets
Strong problem-solving skills and comfort making decisions with imperfect information
Ability to work independently, prioritize effectively, and meet SLA-driven deadlines
Comfortable communicating with internal stakeholders and, when needed, client-facing teams
Nice to have:
Interest in or experience using AI tools to improve productivity and data workflows
Experience working in startup or high-growth environments
Familiarity with tools like Linear or Jira
Exposure to building toward automation in otherwise manual processes