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.
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.
What You'll Do
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 You'll Bring
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).
First Principles Thinking: Question assumptions. Principles > rules.
Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
Everyone’s an Owner: Follow through on commitments and own results.
Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we’re creating. We work in-person. It’s not a 9-to-5. We are all-in.
Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.