Staff Software Data Infrastructure Engineer

Job Title: Staff Software Data Infrastructure Engineer 
Location: Burlingame, CA (Onsite) 
Department: ESS Engineering 
Position Type: Full-time 

About the Company: 
Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. 

Sodium-Ion is cheap, readily available, and safe, making it the leading contender in a rapidly evolving market. 

Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, SunPower, Fluence, and Enovix. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures. 

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience. 

About the Job: 
Peak Energy is looking for a Staff Software Data Infrastructure Engineer to own and scale the battery data pipeline that powers our engineering, test, and product development efforts. This role will be responsible for ensuring we capture high-quality data from battery cells, modules, packs, and energy storage systems, and turn that into reliable, accessible datasets for analysis, modeling, diagnostics, and decision-making. 

This person will operate as a technical leader—bringing strong engineering fundamentals, a high ownership mindset, and a practical, execution-driven approach. You’ll partner closely with hardware, firmware, test, and systems teams to define what “good data” looks like and build robust infrastructure to deliver it. 

Responsibilities: 

Battery Data Pipeline Ownership 

• Design, build, and maintain end-to-end pipelines that ingest data from ESS platforms (cells → systems → full sites) 

• Own data flow from device-level sources through validation, storage, transformation, and delivery to downstream users 

• Improve reliability, scalability, and observability of the data pipeline as Peak scales development and testing 

Data Quality, Validation, and Debugging 

• Define data quality standards and implement validation checks (schema enforcement, unit consistency, timestamp integrity, missing/duplicate values, etc.) 

• Build tools and processes to detect and prevent bad data from reaching engineering and analytics stakeholders 

• Support root-cause investigation for data gaps, telemetry issues, and sensor/firmware integration challenges 

Storage, Access, and Infrastructure 

• Build and maintain storage and query systems designed to support an initial production-ready timeseries and structured battery telemetry pipeline 

• Partner with engineering stakeholders to enable fast, trustworthy access to critical datasets for testing, modeling, and product validation 

• Develop systems that support both real-time and offline workflows, depending on product and test requirements 

Cross-Functional Collaboration 

• Work closely with firmware, electrical, test, systems engineering, and manufacturing teams to define data requirements and ensure instrumentation supports program goals 

• Translate real-world telemetry into usable engineering data products 

• Communicate status, tradeoffs, and recommendations to technical and non-technical partners 

Engineering Leadership 

• Raise the bar for infrastructure design, code quality, and operational excellence 

• Mentor other engineers and contribute to technical direction for Peak’s broader data systems