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Base Power

Process Engineer (Deployments)

Austin, TXfulltimemidAdded yesterday

About this role

Base seeks a Deployment Engineer to design and optimize the operational processes for scaling battery system deployments across Texas. You'll build internal tools, audit deployment data, and collaborate with field and engineering teams to eliminate bottlenecks and improve system reliability at scale.

What you'll do

  • Audit and validate deployment data using SQL to ensure accuracy across systems
  • Design scalable deployment processes focused on data collection, quality assurance, and workflow efficiency
  • Develop internal tools and dashboards using Python and JavaScript to automate workflows and track key metrics
  • Analyze deployment pipeline data to identify bottlenecks and drive continuous improvement
  • Collaborate with engineering and operations teams to translate operational needs into technical solutions
  • Build and maintain data collection systems for comprehensive hardware deployment and performance tracking

What they're looking for

  • SQL and database query languages
  • Python or JavaScript scripting
  • Data analysis and analytics
  • Business intelligence or data visualization tools (Tableau, Looker, Metabase)
  • Process design and documentation
  • Data-driven problem solving
  • Cross-functional collaboration
  • Operations and logistics understanding
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Base Power

Base Power develops high-power-density battery energy storage systems and related hardware for residential and commercial energy applications. The company is hiring System Design, Thermal, and Mechanical Engineers for product development, plus Supply Chain and Data Engineers to build internal platforms and infrastructure supporting distributed battery operations at scale.

View all jobs at Base Power

Likely interview questions

  • Walk us through a time you identified a bottleneck in a process and implemented a data-driven solution to fix it.
  • How would you approach designing a data collection system for a new operational process at scale?
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