
Data Migration Specialist
EvenUp
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $66,000 - $106,000 per year
About the role
- Partner with Solution Architects during post-sale discovery to assess customer source systems (e.g., CRM, Accounting, Processes, spreadsheets) and data readiness.
- Analyze legacy data structures, field mappings, data quality, and dependencies to identify risks, gaps, and remediation strategies.
- Define migration scope, sequencing, assumptions, and success criteria in collaboration with implementation leadership.
- Advise customers on data cleanup, normalization, and preparation activities prior to migration.
- Design detailed source-to-target data mappings aligned with EvenUp’s data models, workflows, and reporting requirements.
- Collaborate with the migration team to ensure migrations support future-state processes, automations, and analytics.
- Define transformation rules, validation logic, and exception handling for complex legal data sets.
- Build, execute, and manage data migrations using ETL tools, scripts, APIs, or database utilities.
- Perform trial migrations, incremental loads, and final cutover migrations in accordance with project timelines.
- Ensure data security, confidentiality, and compliance throughout the migration process.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Relevant certifications (e.g., data engineering, database, cloud, or ETL tools) preferred.
- 5–8 years of experience in data migration, data engineering, or technical implementation roles within enterprise SaaS environments.
- Proven experience migrating large, complex datasets from legacy systems into modern cloud platforms.
- Hands-on experience with ETL processes, APIs, SQL, and data transformation techniques.
- Experience working in regulated industries (legal, financial services, healthcare) strongly preferred.
- Bonus: Experience migrating data for legal case management systems or legal operations platforms.
- Strong proficiency in SQL and relational data modeling.
- Experience with ETL tools, scripting languages (e.g., Python), and API-based data transfers.
- Understanding of data governance, security, and compliance best practices.
- Experience supporting UAT and go-live activities in complex implementations.
Benefits
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Hard Skills & Tools
data migrationdata engineeringETL processesSQLdata transformationdata mappingdata qualitydata normalizationdata cleanupdata governance
Soft Skills
collaborationadvisinganalytical thinkingproblem-solvingcommunication
Certifications
data engineering certificationdatabase certificationcloud certificationETL tools certification