Job Summary:
- Enhance and maintain existing Master Data Management (MDM) APIs, services, integrations, and related support structures in a customized enterprise environment.
- Implement changes to endpoints, payloads, business rules, and service behaviors to meet operational needs, resolve issues, and enable incremental improvements.
- Troubleshoot production issues, perform root-cause analysis, and support remediation for jobs, interfaces, payloads, and data movement.
- Create, update, and maintain data objects or structures for publishing trusted MDM outputs to downstream analytics and reporting environments.
- Collaborate with business analysts, technical leads, and cross-functional teams to clarify requirements and resolve support issues.
- Document technical changes, troubleshooting procedures, support patterns, and implementation details to enhance maintainability and knowledge sharing.
- Participate in testing, deployment, defect resolution, and operational support for changes within the MDM environment.
- Adhere to established security, privacy, and data handling protocols, especially for HIPAA-sensitive and regulated information.
- Responsibly use approved AI-assisted development tools for debugging, code review, testing, and documentation, ensuring engineering standards and accountability.
- Support the adoption and integration of new MDM-related capabilities delivered by internal or external partners.
- Leverage experience in software/backend development, integration, and production support, particularly with APIs and data-processing applications.
- Utilize working knowledge of relational databases, SQL, and structured development practices.
- Operate effectively in environments handling sensitive healthcare or human services data, following HIPAA and privacy guidelines.
- Demonstrate strong communication skills and the ability to work independently or within a team in a high-demand setting.
- Preferred: Experience with MDM platforms (e.g., IBM InfoSphere MDM), healthcare or public-sector data domains, and familiarity with cloud analytics platforms (AWS, Snowflake, Tableau).
- Preferred: Experience supporting heavily customized or legacy enterprise systems and using AI-assisted development practices to enhance productivity.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91166691
- Position Id: 485-43174-
- Posted 2 days ago
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