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Data Engineer

  • Data Engineer job type Posted on: Oct 30, 2026
  • Data Engineer experience level Swift Hire LLC
  • Data Engineer employment type Orlando, Florida
  • Data Engineer employment type Onsite
  • Data Engineer salary CTC

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Job Title :

Data Engineer

Job Type :

Contract

Job Location :

Orlando Florida United States

Remote :

No

Jobcon Logo Job Description :

Data Engineer

Orlando, FL onsite

Position Overview:

Seeking experienced Data Engineers to support the re-architecture and migration of a Credit Risk Data Mart from MySQL to Microsoft SQL Server. The role will focus on data engineering, migration, reporting modernization, and ensuring data integrity across systems.

Key Responsibilities:

Support migration of data from MySQL to Microsoft SQL Server.

Assist with data architecture, integration, and transformation.

Support SAS reporting modernization into Power BI development.

Implement data lineage, quality controls, and reconciliation processes.

Leverage AI-assisted tools to improve data engineering efficiency.

Required Skills:

Strong SQL Server and MySQL experience

Azure data technologies

SAS and Power BI reporting

Data migration, ETL, and data integration

Data lineage, reconciliation, and data quality

Preferred: Financial services or credit risk data experience and familiarity with AI-assisted data engineering tools.

Jobcon Logo Position Details

Posted:

Oct 30, 2026

Reference Number:

458-48080

Employment:

CTC

City:

Orlando

Job Origin:

CIEPAL_ORGANIC_FEED

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Data Engineer

Orlando, FL onsite

Position Overview:

Seeking experienced Data Engineers to support the re-architecture and migration of a Credit Risk Data Mart from MySQL to Microsoft SQL Server. The role will focus on data engineering, migration, reporting modernization, and ensuring data integrity across systems.

Key Responsibilities:

Support migration of data from MySQL to Microsoft SQL Server.

Assist with data architecture, integration, and transformation.

Support SAS reporting modernization into Power BI development.

Implement data lineage, quality controls, and reconciliation processes.

Leverage AI-assisted tools to improve data engineering efficiency.

Required Skills:

Strong SQL Server and MySQL experience

Azure data technologies

SAS and Power BI reporting

Data migration, ETL, and data integration

Data lineage, reconciliation, and data quality

Preferred: Financial services or credit risk data experience and familiarity with AI-assisted data engineering tools.

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