Base

Power

DataEngineer

$145–195k ~AI est. Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Base. Skills: Data infrastructure, Backend engineering, Data pipelines. Build backend data systems. Maintain backend data systems”

Industry & Context.

Power
Problems you'll solve

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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