Deployment Engineer [Data & Internal Tools]

About Base

Base is building the foundation of American power. The grid is the largest, most complex machine in the world. Yet it’s aging, struggling to keep up with today’s demand, and is unprepared for our electrified future.

Base is modernizing the grid as the first engineering-led, technology-driven power company. We’re deploying a nationwide network of distributed batteries that strengthens critical infrastructure and saves Americans money.

Our team of engineers, operators, creatives, technicians, and electricians design and deploy systems at speed. If you want to tackle the problem that will define this century and shape the future of American energy, now is the time. Join us.

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.

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).

Our Values

We’re building a winning culture and we’re looking for people who are up for the challenge. Here’s what we expect from day one:

• In-Person Only: We work full-time in the office. No hybrid. No remote.

• Challenge the Status Quo: Question assumptions. Fix broken systems. Principles > rules.

• Move Fast: Focus on what matters, act quickly, and learn by doing.

• Give & Get Feedback: Be direct, be humble. Challenge ideas–including your own.

• Own the Outcome: Take full responsibility. Deliver results. No excuses.

• Act Like an Owner: Be resourceful, mindful of impact, and committed to the business.

• Be Decisive: Drive clarity. Make bold calls with imperfect info.

• Bring the Intensity: This is not a 9-to-5. We're building something hard which requires real commitment.