Deployment Engineer (Data Analytics)

Base Power Company • Austin, TX

2d • Onsite

About The Position

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. The Deployments team is responsible for getting Base’s battery systems from our facilities into customers’ homes safely, efficiently, and at scale. The team sits at the intersection of hardware, software, data, and field operations, building the systems and processes that power deployment from start to finish. Deployment Engineers tackle the technical and operational challenges that come with scaling a rapidly growing physical operation. You’ll work closely with field teams and engineers to understand what’s happening on the ground, use data to identify bottlenecks and opportunities, and build the tools and processes that make deployments faster, more reliable, and easier to operate. This is a highly cross-functional and hands-on team. You’ll have significant ownership over how we operate today while helping architect the systems we’ll need as Base expands into new markets and deploys batteries at increasingly greater scale. Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.

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
• Education Level: Associate degree