Data Migration Engineer

Data Migration Engineer
Location: Washington DC (Hybrid 3 to 4 Days Onsite)
Duration: 12-Month Contract (06/25/2026 06/25/2027)
Interview: Video Interview

Industry: International Development / Enterprise Data Modernization / Cloud Migration

Client Note:

• Local with DL copy and LinkedIn with location
• Strong hands-on Data Migration experience is mandatory
• Experience with enterprise-scale legacy system migrations preferred
• AWS and Azure cloud migration expertise highly preferred
• Looking for candidates with extensive ETL/ELT pipeline development and cutover execution experience

About the Role:
Seeking a Data Migration Engineer to support enterprise data modernization initiatives involving large-scale migration of legacy systems into modern cloud platforms. This role will focus on one-time and phased mass data migration efforts ensuring zero data loss strict adherence to data mapping rules and seamless production cutovers.

The ideal candidate will possess deep expertise in ETL/ELT development data engineering cloud migration Oracle databases AWS Azure and enterprise data quality practices while working closely with Business Analysts Architects and cross-functional Agile teams.

Required:

• 5 years of Data Engineering and ETL/ELT development experience
• Large-scale Data Migration experience from legacy relational databases
• Advanced SQL expertise
• Strong Python programming experience
• Oracle Database experience
• AWS Database Migration Service (AWS DMS)
• Databricks experience
• AWS RDS experience
• Azure Data Lake Storage Gen2 (ADLS Gen2)
• ETL/ELT Pipeline Development
• Data Cleansing Standardization and Validation
• Data Modeling and Database Design
• Data Reconciliation and Cutover Planning
• IAM RBAC Microsoft Entra ID and AWS KMS security implementation
• Strong troubleshooting and problem-solving skills

Skills:

• AWS Certified Data Engineer Associate
• Microsoft Certified Azure Data Engineer Associate
• SharePoint data migration experience
• Cloud Data Platform modernization projects
• Enterprise Data Governance experience
• Agile/Scrum project experience
• Experience supporting financial or international development organizations

• Bachelors or Masters Degree in Computer Science Data Engineering Information Technology or related quantitative field