Remote Senior Enterprise Software Engineer (SQL/C#/SSIS)

Centene Corporation; Hartford (CT); Híbrido; USD 87 000 - 161 000; Tempo integral

Resumo da oferta

Centene Corporation in Hartford, CT is seeking an experienced software engineer to design, develop, and implement complex enterprise software solutions across data-heavy healthcare environments.

You will create and optimize T-SQL objects, maintain an in-house letter application using C# and Word/ PDF tooling, build SSIS ETL packages, and support job scheduling and data workflows while collaborating with data modelers, analysts, and SMEs.

Qualificações

• Bachelor’s degree in statistics, mathematics, engineering, computer science, or related field.
• 4–6 years of related experience or equivalent.
• Experience with data warehousing or enterprise data platforms is a plus.

Responsabilidades

• Design, develop, and implement enterprise software solutions.
• Create and optimize T-SQL stored procedures, views, and tables for data staging and transformation.
• Maintain the in-house letter application using C# and Word documents, plus PDF conversion.
• Develop SSIS packages for ETL, file processing, and document workflows.
• Schedule, monitor, and troubleshoot jobs with ActiveBatch; provide testing and production support.
• Create technical documentation and communicate issues to stakeholders.
• Contribute to data marts, EDI X12, and EDW feeds as needed.
• Follow policies and standards.

Conhecimentos

SQL Server development

C# development

SSIS development

EDI

Healthcare data familiarity

Formação académica

Bachelor's degree in quantitative or business field

Ferramentas

SSIS

ETL tooling

Descrição da oferta de emprego

Centene Corporation in Hartford, CT is seeking an experienced software engineer to design, develop, and implement complex enterprise software solutions across data-heavy healthcare environments.

You will create and optimize T-SQL objects, maintain an in-house letter application using C# and Word/ PDF tooling, build SSIS ETL packages, and support job scheduling and data workflows while collaborating with data modelers, analysts, and SMEs.