Base
Power
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Base. Skills: Data infrastructure, Backend engineering, Data pipelines. Build backend data systems. Maintain backend data systems”
Industry & Context.
First Principles Thinking
What They're Looking For.
Must Have
5+ years data engineering, 5+ years backend engineering, Deep experience building data infrastructure, Coding skills in Python, Experience integrating diverse data sources, Deep care about data quality, Familiarity with cloud infrastructure, Familiarity with infrastructure-as-code
Nice to Have
Experience with Go, Experience with another compiled language, Experience with modern orchestration frameworks, Experience with GCP, Experience with AWS, Experience with Terraform
What You'll Do.
Build backend data systems
Maintain backend data systems
Design data pipelines
Operate data pipelines
Build foundational schemas
Build canonical datasets
Store time-series data
Manage data ingestion
Synchronize data sources
Maintain data platforms
Improve observability
Define data architecture
Evolve data architecture
Define best practices
Evolve best practices
How You'll Work.
Team & Collaboration
Software engineers; Hardware teams; Markets; Operations; Cross-functional teams
Full 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 process data from across the entire company: firmware telemetry from thousands of deployed batteries, ERCOT market signals, manufacturing test benches, lab equipment, and grid operations. As a Data Engineer, you will design, build, and operate the backend data infrastructure that powers how we understand and run our business. This is a backend engineering role with a deep data focus. You won't just model schemas; you'll own the pipelines, systems, and platforms that move and transform data at every layer of the stack. You'll work closely with software engineers, hardware teams, markets, and operations to understand what data they need and build the systems that reliably deliver it. What you'll do - Backend data systems: Build and maintain the core backend systems that ingest, transform, and serve data across the company -- from raw telemetry and operational events to clean, queryable datasets used in dashboards, models, and APIs. - Pipeline development and operations: Design, build, and operate reliable batch and streaming data pipelines with a focus on correctness, performance, and scalability. Own ETL processes end-to-end, from source system integration through to production delivery. - Data modeling and architecture: Build foundational schemas and canonical datasets that store high-volume time-series and event data in a way that stays searchable, performant, and scalable. Own core data models used across the company for analytics, reporting, and decision-making. - Diverse data integration: Manage ingestion across a wide range of data sources -- IoT telemetry, t
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