Database Administrator
Listed on 2026-05-19
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IT/Tech
Data Engineer, Database Administrator
Linthicum Heights, United States | Posted on 05/15/2026
Project Name
Shared Data Platform (SDP)
Client
Stateof Maryland
Agency
Maryland Benefits
Location
100% On-site Mon-Fri, Linthicum Heights, MD 21090
Interview Type
In-Person
Contract Duration
1year with 9 one-year renewal options
Tentative Start Date
10/01/2025
Deadline
09/18/2025
Project OverviewInnosoft is the prime contractor for MD Benefits (formerly MD THINK), supporting the management, design, development, testing, and implementation of this strategic Information Technology (IT) program. Maryland Benefits is seeking an agile development resource team with required skill sets to build and/or maintain the Maryland Benefits infrastructure/platform, applications development, data repositories, reports and dashboards and support activities related to network services and system operations.
The Shared Data Platform (SDP) is designed as a cloud-based, data-centric infrastructure to support scalable, flexible, and integrated data operations. It empowers self-service and accelerates data-driven decision‑making across the enterprise. Key strategic goals include establishing a mature data infrastructure that balances analytics and business intelligence, enabling iterative learning and actionable insights, and fostering a "Data Center of Excellence" (DCoE) to govern and enhance data‑driven processes.
The SDP also prioritizes the delivery of trusted information and the streamlined onboarding of State Agencies to the Maryland Benefits platform through standardized procedures, ultimately driving operational efficiency and measurable business value. The "Data Platform - Automation" team plays a critical role in achieving these goals by supporting the "Data Platform - Engineering" team.
- The Database Management Specialist shall provide highly technical expertise and support in the use of DBMS.
- Performance Monitoring and Tuning: DBAs continuously monitor database performance, identifying bottlenecks, and proactively optimizing query execution plans, indexes, and database configurations. This ensures efficient use of resources and enhances overall system performance.
- Resource Allocation and Management: DBAs manage database resources, such as CPU, memory, and storage, to prevent resource contention and ensure fair distribution among applications and tools.
- Backup and Recovery: DBAs implement robust backup and recovery strategies to safeguard data integrity and provide rapid data recovery in case of failures or disasters. This ensures the reliability and stability of the shared platform.
- Security and Access Controls: DBAs enforce security measures, access controls, and encryption to protect sensitive data from unauthorized access and ensure data privacy and compliance with regulations.
- Database Provisioning and Scaling: DBAs handle the provisioning of new databases and scaling of existing databases to meet the evolving demands of applications and tools on the shared platform. This ensures scalability and flexibility in data storage.
- Data Replication and High Availability: DBAs configure database replication and high availability mechanisms to minimize downtime and provide continuous access to critical data for applications and users.
- Query Optimization and Troubleshooting: DBAs optimize complex queries, identifying and resolving performance issues. They collaborate with application developers to troubleshoot and resolve database‑related problems.
- Version and Change Management: DBAs manage database schema changes and versioning to coordinate updates and ensure compatibility between different applications and tools.
- Monitoring and Alerting: DBAs set up monitoring and alerting systems to proactively detect issues and promptly respond to potential problems in the shared platform, ensuring observability and quick incident resolution.
- Capacity Planning: DBAs conduct capacity planning to forecast future resource requirements and ensure that the shared platform can meet growing demands while maintaining optimal performance.
- Collaboration with Data Architects and Developers: DBAs collaborate with data architects and application developers to understand data…
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