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Data Migration Engineer (AI-Assisted)

Full Remote
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Designs and executes data migration pipelines from legacy systems to SaaS platforms using Python, SQL, and AI tools like Claude Code. Focuses on automation, validation, and reusable tooling for efficient, scalable data transformations. Requires hands-on experience in ETL, database scripting, and independent problem-solving with strong attention to detail.

Key Highlights
AI-assisted data migration using tools like Claude Code
End-to-end ownership of data migration projects
Focus on automation, validation, and reusable tooling
Key Responsibilities
Design and implement ETL processes for migrating data from legacy systems to SaaS platforms
Develop and optimize scripts for data extraction, transformation, loading, and validation
Direct AI agents to generate and validate SQL scripts, ensuring accuracy and security
Build reusable migration tools and maintain a high-quality codebase
Collaborate with stakeholders to understand and meet data requirements
Technical Skills Required
Python SQL ETL/Data Migration
Benefits & Perks
Freedom to organize work in a results-focused environment
Supportive work environment with growth opportunities
Chance to shape evolving automation and engineering-quality programs
Nice to Have
Experience with GIS technology and spatial data formats
Knowledge of cloud platforms (Google Cloud, AWS, Azure)
Experience with AI-assisted development tools like Claude Code
Scalable data pipeline development

Job Description

Customers often bring years of data stored across legacy systems. As a Data Migration Engineer, you will move that data into a modern SaaS platform accurately and efficiently. You will also develop repeatable processes that make future migrations faster and more reliable.

AI comes first in this role. You will use AI agents such as Claude Code to analyze legacy databases, create field mappings, generate transformation and loading scripts, and automate data validation. You will be responsible for directing the work, verifying its accuracy, and converting successful solutions into reusable migration tools.

Responsibilities

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