Data Engineer, Hardware Systems
AI summary of the role
Base Power Company is seeking a Data Engineer to design, build, and operate the core data infrastructure for hardware telemetry, lab equipment, and field deployments.
What you’ll do
- Design and manage ingestion of disparate hardware datasets including CAN telemetry, thermal chamber logs, and power analyzer readings
- Build foundational data structures and canonical datasets for time-series hardware data
- Develop and maintain reliable batch and streaming data pipelines with automated ETL processes
- Create platforms for cross-functional teams to query and visualize multi-modal hardware data
What you’ll bring
- 5+ years experience in data engineering, backend engineering with data focus, or hardware/systems data analysis
- Strong background in building data infrastructure with databases, data warehouses, or data lakes (e.g., BigQuery, Snowflake, Redshift, Databricks)
- Strong coding skills in Python, Go, SQL, and/or R for data manipulation and ETL automation
- Familiarity with hardware telemetry, time-series data, and sensor data from lab or field environments
Technologies
CAN telemetry · BigQuery · Snowflake · Redshift · Databricks · Python · Go · SQL · R · dbt · AWS · GCP
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Base 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. About the Role We generate massive amounts of data from our hardware telemetry, lab equipment, field deployments, and distributed energy resource fleet. As a Data Engineer working with our Hardware team, you will design, build, and operate the core data infrastructure that turns raw hardware signals into actionable engineering insights. You will own critical data pipelines and datasets that support product development, grid operations, reliability engineering, analytics, and business reporting.
More from the job description
About Base 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. About the Role We generate massive amounts of data from our hardware telemetry, lab equipment, field deployments, and distributed energy resource fleet. As a Data Engineer working with our Hardware team, you will design, build, and operate the core data infrastructure that turns raw hardware signals into actionable engineering insights. You will own critical data pipelines and datasets that support product development, grid operations, reliability engineering, analytics, and business reporting. You'll work closely with hardware engineers, operators, business teams, and analytics to understand data needs and turn them into scalable, reliable systems. This is a hands-on role with real ownership. Your work will shape our data architecture as we grow and ensure it can scale with the company. What You’ll Do Diverse Data Integration: Design and manage the ingestion of disparate hardware datasets, including CAN telemetry, thermal chamber logs, power supply/grid sim/power analyzer readings, vide [... source excerpt omitted ...] ine and evolve our data architecture, tooling, and best practices as the company scales. Partner closely with EPD, operations, manufacturing, and business teams to understand data requirements and deliver practical solutions. What You'll Bring 5+ years of experience in data engineering, backend engineering with a strong data focus, or a hardware/systems role organizing and analyzing data to uncover root causes and trends. A strong background in building data infrastructure, with deep understanding of how to architect databases, data warehouses, and/or data lakes (e.g., BigQuery, Snowflake, Redshift, Databricks, or similar). Strong coding skills in Python, Go, SQL, and/or R, used [... source excerpt omitted ...] and using tools such as dbt. Familiarity with cloud infrastructure and infrastructure-as-code (e.g., AWS/GCP, Terraform). Enjoy working in fast-moving environments with evolving requirements and ambiguous problems. Take pride in building simple, reliable systems that solve real problems. About the Team America's power grid is failing—electricity costs have risen even as generation gets cheaper, and blackouts are becoming more common. We're building the software that fixes it. Our team owns the entire stack: firmware that controls batteries in thousands of homes, trading algorithms that buy and sell power in real-time markets, distributed commanding systems that orchestrate a grow
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