Deployment Operations Engineer

Base Power Company • Austin, TX

1d • Onsite

About The Position

About Base Base is America’s next-generation power company. We’re rebuilding the foundation of modern civilization–electricity–by deploying a vast network of distributed batteries that is transforming today’s fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role Base is looking for a Deployment Engineer to architect the process for rapid deployments of hardware throughout the state of Texas. This pivotal role is focused on ensuring a positive customer experience and increased uptime of battery systems.

Requirements

• Degree in Engineering, Computer Science, or equivalent experience.
• 2+ years of experience in a role focused on data analysis, process engineering, or internal tools development.
• Comfortable with SQL or similar database query languages; ability to write complex queries to extract and analyze data.
• A strong data-driven mindset and proven ability to transform data into clear, actionable insights and recommendations.
• Demonstrated experience in building and developing processes that are scalable, repeatable, and documented.
• Proficiency in at least one scripting language (e.g., Python, JavaScript) for tool development and data manipulation.
• Experience with business intelligence or data visualization tools (e.g., Tableau, Looker, Metabase).

Responsibilities

• Audit data with SQL or similar tools to ensure the integrity and accuracy of deployment-related data across various systems.
• Design and implement internal processes for scaling the deployment pipeline, focusing on data collection, quality assurance, and workflow efficiency.
• Build internal tools and dashboards (e.g., using Python, JavaScript, and various dashboarding platforms) to automate workflows and provide real-time visibility into key operational metrics.
• Perform data analytics on the deployment pipeline to identify bottlenecks, measure process effectiveness, and drive continuous improvement initiatives.
• Collaborate with engineering and operations teams to translate operational needs into technical requirements for internal tools and data models.
• Set up and maintain data collection systems that enable comprehensive tracking of hardware deployment and performance.
• Develop and maintain documentation for internal tools, data models, and new operational processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees