The Database Engineer is a technical leader responsible for designing, optimizing, and maintaining enterprise-scale database systems and data integrations across the DSO ecosystem. This role ensures reliable data movement between clinical, financial, HR, and operational platforms to support analytics, reporting, and business decision-making.

• Design, and maintain enterprise database solutions supporting high availability, performance, and scalability.
• Lead development and optimization of SSIS packages for ETL processes and data feeds.
• Design and manage data warehousing solutions to support BI reporting and analytics.
• Own and support BI reporting data feeds used by leadership, finance, operations, and clinical teams.
• Develop and maintain enterprise integrations, including:
• CRM platforms (e.g., Dynamics)
• Microsoft Dynamics / ERP systems
• HRIS systems
• JD Edwards (JDE)
• Microsoft Identity Manager (MIM)
• PMS Systems
• Oversee EDI integrations with external partners, vendors, and payers.
• Ensure data integrity, security, governance, and compliance (HIPAA, SOC, internal standards).
• Partner with software engineers, analysts, and business stakeholders to define data requirements.
• Perform performance tuning, query optimization, and capacity planning.
• Establish standards, best practices, and documentation for database and integration development.
• Mentor junior engineers and provide technical leadership across projects.

• 3+ years of experience in database engineering or data integration roles.
• Advanced expertise with SQL Server, including performance tuning and indexing strategies.
• Strong hands-on experience with SSIS, ETL pipelines, and data orchestration.
• Proven experience building and supporting data warehouses and BI reporting layers.
• Experience integrating enterprise systems such as CRM, Dynamics, HRIS, JDE, and MIM.
• Experience with EDI standards.
• Strong understanding of data modeling, normalization, and dimensional modeling.
• Experience in healthcare or DSO environments is strongly preferred.

Preferred:

• Azure data services (Azure SQL, Data Factory, Synapse)
• Power BI or similar BI platforms
• Experience supporting multi-location or multi-entity organizations