Senior Tableau Administrator​/Infrastructure Engineer

Job Description Senior Tableau Administrator / Infrastructure Engineer

Location: Columbus, OH :
Des Moines, IA :
Charlotte, NC :
Irving, TX

Duration: 6 Month Contract

We are seeking a Senior Tableau Administrator with experience managing large-scale Tableau environments to support enterprise data and infrastructure initiatives. This role will focus on administration, automation, and operational support of Tableau platforms
, while collaborating with infrastructure and data teams to ensure stability, performance, and scalability.

The ideal candidate will bring strong Tableau Server administration expertise
, along with Python scripting and version control experience
. Exposure to automation tools such as Ansible is a plus.

• Administer and maintain enterprise Tableau Server environments supporting large-scale data and analytics initiatives.
• Monitor and optimize Tableau performance, scalability, and system reliability.
• Manage user access, security configuration, and governance policies within Tableau environments.
• Develop Python scripts to automate administrative tasks, monitoring, and operational workflows.
• Utilize Git Hub for version control and collaboration on infrastructure scripts and configurations.
• Support infrastructure and engineering teams in deploying and maintaining Tableau-related services.
• Troubleshoot and resolve platform, performance, and connectivity issues.
• Collaborate with engineering and analytics teams to ensure platform stability and operational efficiency.

• 4+ years of infrastructure engineering or platform administration experience.
• Hands-on experience with Tableau Server administration in enterprise environments.
• Experience working with large-scale Tableau deployments.
• Strong Python scripting experience for automation and operational tasks.
• Experience using Git Hub or similar version control tools.
• Solid understanding of infrastructure engineering principles and system operations.

• Experience with Ansible or other infrastructure automation tools.
• Experience supporting data analytics or BI platforms in enterprise environments.
• Familiarity with monitoring, performance tuning, and capacity planning for analytics platforms.