Negotiable
Undetermined
Remote
Remote
Summary: Seeking a Senior Data Engineer with a strong SQL focus to assist in the migration of legacy data for a public-sector Records Management System. This short-term contract role emphasizes data extraction and transformation rather than analytics or reporting. The position is remote and requires immediate availability. The contract duration is approximately 4 to 6 weeks, depending on the data migration timeline.
Key Responsibilities:
- Reverse-engineer undocumented MySQL / SQL Server schemas
- Reconstruct data dictionaries and relationships
- Write advanced, repeatable SQL extraction & transformation logic
- Support test migrations and final data cutover
- Produce clear technical documentation
Key Skills:
- 7+ years data engineering / data migration experience
- Expert-level SQL (complex joins, transformations)
- Hands-on legacy system migration experience
- MySQL and/or SQL Server
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: Remote (U.S. only)
Type: Contract | Immediate Start
Short-term contract (approximately 4 6 weeks), with duration dependent on data discovery and migration timeline.
Seeking a senior, SQL-focused Data Engineer to support a public-sector Records Management System (RMS) replacement. This role centers on legacy data migration, not analytics or reporting.
Key Responsibilities
Reverse-engineer undocumented MySQL / SQL Server schemas
Reconstruct data dictionaries and relationships
Write advanced, repeatable SQL extraction & transformation logic
Support test migrations and final data cutover
Produce clear technical documentation
Required
7+ years data engineering / data migration experience
Expert-level SQL (complex joins, transformations)
Hands-on legacy system migration experience
MySQL and/or SQL Server
Nice to Have
Public-sector, RMS, ERP, or case-management systems
Experience handling attachments/BLOBs
Not a fit if you are: analytics, BI, data science, or Spark/Python-only.
Apply with: resume + availability + rate