3 results for Database Administrator in Dublin, OH

System Administrator

Columbus, OH
onsite
Permanent
90000 - 110000 USD / Yearly
We are looking for an experienced System Administrator to oversee the seamless operation and maintenance of our organization's computer systems and networks. This role involves managing the infrastructure to support business objectives, ensuring compliance with industry standards, and delivering exceptional customer service. Requires hands-on expertise in system configuration, troubleshooting, and optimization. Responsibilities:• Monitor daily system and network operations to ensure security, reliability, and high performance, including providing on-call support for 24/7 operations.• Implement, maintain, and optimize local and wide area networks to meet organizational needs.• Configure, troubleshoot, and repair network hardware such as routers, switches, hubs, and UPS devices.• Address and resolve network access issues and ensure uninterrupted connectivity.• Perform system upgrades, improvements, and regular maintenance to enhance efficiency.• Set up and manage servers, including configuration and integration into the network.• Administer end-user accounts, permissions, and access controls to ensure secure operations.• Conduct regular system backups and recovery processes to safeguard organizational data.• Collaborate with other IT staff and provide backup support as needed for seamless operations.
2026-03-11T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-03-03T00:00:00Z

Data Scientist: III

Columbus, OH
onsite
Temporary
47 - 52 USD / Hourly
OverviewWe are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>
2026-03-18T00:00:00Z