Deployment Engineer (Data Analytics)

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.