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3 results for Database Manager in Cincinnati, OH
- Cincinnati, OH
- remote
- Temporary / Contract
- 61.75 - 71.5 USD / Hourly
- We are looking for a Database Administrator to support and optimize critical database environments in Cincinnati, Ohio. This Long-term Contract position focuses on maintaining reliable, secure, and high-performing database systems across platforms including Microsoft SQL Server, Azure SQL Database, and MySQL. The ideal candidate will bring strong technical expertise, sound troubleshooting abilities, and a proactive approach to database health, availability, and continuous improvement.<br><br>Responsibilities:<br>• Administer and maintain database platforms to ensure stability, security, and consistent availability for business operations.<br>• Monitor database performance, investigate bottlenecks, and implement tuning improvements to enhance efficiency and response times.<br>• Manage backup, recovery, and disaster recovery processes to protect data integrity and support business continuity.<br>• Support database deployments, configuration updates, and environment changes while minimizing operational disruption.<br>• Troubleshoot database issues, identify root causes, and resolve incidents affecting performance, connectivity, or reliability.<br>• Partner with technical teams to optimize queries, data structures, and system design for scalable application support.<br>• Oversee user access, permissions, and security controls in alignment with organizational and compliance standards.<br>• Document database configurations, maintenance procedures, and operational best practices for ongoing support and knowledge sharing.
- 2026-10-07T00:00:00Z
- Cincinnati, OH
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs.<br><br>Responsibilities:<br>• Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls.<br>• Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment.<br>• Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model.<br>• Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options.<br>• Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control.<br>• Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations.<br>• Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
- 2026-10-07T00:00:00Z
- Remote, OH
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- <p>We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.</p><p>• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.</p><p>• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.</p><p>• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.</p><p>• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.</p><p>• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.</p><p>• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.</p>
- 2026-10-08T00:00:00Z