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.
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, video feeds, and third-party systems, such that they can be synchronized for event-based analysis.
System Architecture & Data Modeling: Build foundational data structures, schemas, and canonical datasets that store vast amounts of time-series hardware data in a way that remains searchable, performant, and scalable. Develop and own core data models used across the company for analytics, reporting, and decision-making.
Pipeline Development & Operations: Design, build, and maintain reliable batch and streaming data pipelines with a focus on correctness, performance, and scalability. Automate ETL processes to move data from product, operational, and lab systems into our data platform.
Visualization & Accessibility: Develop and maintain platforms that allow cross-functional teams to easily query, overlay, and visualize multi-modal hardware data to identify trends, anomalies, and test failures.
Data Quality & Governance: Ensure "source of truth" datasets are consistent across lab environments and field deployments. Improve data quality, observability, and documentation so teams can confidently use data without deep context.
Architecture Evolution: Help define 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 for data manipulation, automation of ETL processes, and building custom visualization interfaces. Comfortable building and maintaining production data pipelines using modern data orchestration frameworks.
Familiarity with hardware telemetry, time-series data, and sensor data from lab or field environments. Ability to look at disconnected log files and envision a structured system that makes that data actionable for a whole organization.
Deep care about data quality, schema design, and building datasets that others can trust and understand 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 This Team
The Hardware Reliability and Test team ensures our equipment exceeds engineering and reliability standards through rigorous mechanical, electrical, and environmental testing at the component, sub-assembly, and system levels. When we find failure points, we leverage data-driven insights to identify root causes and provide actionable improvements and mitigations. We act as a tight feedback loop for the design team, accelerating product maturity and ensuring we deliver a stellar experience for our members.
First Principles Thinking: Question assumptions. Principles > rules.
Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
Everyone’s an Owner: Follow through on commitments and own results.
Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we’re creating. We work in-person. It’s not a 9-to-5. We are all-in.
Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.
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