Database Management Specialist
Listed on 2026-02-16
-
IT/Tech
Database Administrator, Data Engineer
For more details, please connect with Soumya Nayak at or call at
Job Title: Senior Database Management Specialist
Duration: March 02, 2026 – June 30, 2026 (with option to renew through June 30, 2028)
Position Type: Contract
Interview Type: Phone / Internet or In-Person (as determined by MHBE)
Ceipal : _SN
Job Code: MD78
Senior Database Management Specialist RFR
020926
End Client: Maryland Health Benefit Exchange (MHBE)
Department: MHBE – Information Technology
Scope of ProjectThe Maryland Health Benefit Exchange (MHBE), an independent unit of state government, administers Maryland Health Connection (MHC), the state’s health insurance marketplace. MHBE seeks one (1) Senior Database Management Specialist to design, develop, optimize, administer, govern, and maintain complex databases and provide various database operational support services for HBX and other systems.
Primary work location will be 750 East Pratt Street, 6th Floor, Baltimore, MD 21202.
The candidate may be required to work on-site or remotely on specific days as determined by MHBE.
Responsibilities- Design, develop, and maintain complex enterprise databases, data lakes, and data warehouses.
- Design complex database architecture, including data modeling, database schema design, and database security.
- Design, develop and implement plans for migrating data.
- Support implementation of data-centric, integrated software, hardware, cloud, and mobile solutions.
- Provide database maintenance and operations recommendations for web applications, data-sharing initiatives, reports, and dashboards.
- Review and support database integrations for operational and security compliance.
- Perform optimization and cost-reduction strategies for database infrastructure and deployments.
- Collaborate with application, infrastructure, and operations teams to automate AWS cloud operations.
- Develop standards and scripts to monitor and alert cloud-based systems.
- Design, develop, and support ETL processes across databases, data lakes, and warehouses.
- Monitor database performance, troubleshoot errors, and debug issues.
- Administer HBX databases including monitoring, backup, recovery, and security.
- Ensure data quality, governance, validation rules, and metadata management.
- Provide data support for unit, load, end-to-end, validation, and UAT testing.
- Perform Postgre
SQL database administration, RBAC, patch management, replication, and DR. - Perform Postgre
SQL and Mongo
DB database migrations across data centers and AWS. - Monitor CPU, disk, memory, and space utilization in production databases.
- Perform security hardening on Postgre
SQL and Mongo
DB databases. - Analyze performance issues across application and database tiers.
- Perform disaster recovery planning, testing, backup, and restore activities.
- Perform Postgre
SQL maintenance including vacuum, full vacuum, and analyze. - Perform Postgre
SQL and Mongo
DB upgrades and storage management. - Install and maintain Mongo
DB databases for high availability. - Develop optimized SQL and No
SQL queries and manage indexes. - Participate in deployment playbooks, batch execution, and system health monitoring.
- Collaborate with developers and stakeholders to implement scalable enterprise architectures.
- Adhere to MHBE security, change control, and PMO policies.
- Be flexible to work overtime, weekends, holidays, and off-hours as needed.
- 6+ years designing and supporting large-scale enterprise databases
- Postgre
SQL, Informatica, Mongo
DB (4+ years) - Database performance tuning, monitoring, and batch optimization
- Database migrations and production maintenance
- High availability, backup, recovery, and disaster recovery
- ETL, data modeling, data warehousing
- Complex SQL and batch performance optimization
- Health Insurance Exchange (HIX) / ACA / Integrated Eligibility systems
- EDI transactions: 834, 820, 999
- 270/271 Eligibility transactions
- Analytics tools:
Tableau, Qlik Sense, Power BI - Data governance, metadata, and data dictionary development
- PMO process experience
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