Data Engineer
Responsibilities:
• Design, support, and improve custom integration services that move data between enterprise platforms and applications.
• Build and maintain ETL processes for data loading, transformation, and system-to-system exchange.
• Develop microservice-based solutions in .NET/C# to replace larger legacy integration components where needed.
• Create and support API-driven integrations, including services that rely on REST and SOAP protocols.
• Partner with business analysts, developers, and solution stakeholders to translate operational needs into technical data workflows.
• Monitor data pipelines and integration jobs, troubleshoot failures, and resolve performance or reliability issues.
• Contribute to deployment and release activities using Azure DevOps or comparable CI/CD tools.
• Support integrations involving key enterprise platforms such as Salesforce and higher education systems when applicable.
Qualifications:
• Strong hands-on experience with data integration, ETL development, and data loading processes.• Proven expertise developing integration services and pipelines using C# and .NET.
• Solid understanding of API development and management, including RESTful and SOAP-based services.
• Experience building or supporting system-to-system interfaces in a custom development environment.
• Familiarity with CI/CD practices and tools such as Azure DevOps or similar deployment platforms.
• Ability to troubleshoot complex data flow issues and maintain reliable production integrations.
• Experience working collaboratively with cross-functional teams to deliver technical solutions.
• Exposure to higher education environments, Ellucian, Colleague, or Salesforce is an advantage.
Compensation
$39.59-$45.84 HourlyAbout Us
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