Data Engineer
- Salary
- Not stated
- Level
- Mid
- Work type
- On-site · Austin
- Visa
- Not stated
Open. First seen 9 September 2026.
The team: Software Engineering HIRES STEADILY
This role is one of 21 open in Software Engineering. 10 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Embedded Systems (12 of 21), Golang (10 of 21), AWS (6 of 21), GCP (6 of 21), Python (6 of 21), C (5 of 21), C++ (5 of 21)
OTHER ROLES ON THIS TEAM
- Forward Deployed Engineer posted Oct 15
- Software Engineer, Growth posted Oct 15
- Full Stack Software Engineer, Growth posted Oct 15
- Full Stack Software Engineer, Core Experience posted Oct 15
- Software Engineer, Core Experience posted Oct 15
- Software Engineer, Algorithms & Infrastructure posted Oct 14
- Product Security Engineer posted Oct 14
- Software Engineer, Backend (Security) posted Oct 8
- GRC Analyst posted Sep 22
- Network Engineer, Distributed Compute posted Sep 22
- Quantitative Developer Intern posted Sep 14
- Firmware Engineering Intern posted Sep 14
- Software Engineering Intern posted Sep 14
- Senior Software Engineer, Backend posted Sep 9
- Server Architect posted Aug 29
- Software Engineer, Infrastructure posted May 7
- Head of Firmware posted Apr 23
- Software Engineer, Systems Integration posted Apr 20
- Software Engineer, Backend posted Apr 14
- Embedded Software Engineer posted Dec 4
From the team and dates on Base Power Company's own job board.
About the role
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 Software Engineer on the Data Infrastructure team, 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, third-party APIs, operational systems, and internal services -- and build the infrastructure to synchronize and join them reliably.
- Visualization and accessibility: Build and maintain platforms that let cross-functional teams query, explore, and visualize data without needing to understand the underlying infrastructure.
- Data quality and governance: Ensure source-of-truth datasets are consistent, documented, and trustworthy. Improve observability so teams can use data with confidence.
- Architecture evolution: Help define and evolve our data architecture, tooling, and best practices as we scale. You'll have real input into how we build -- not just what we build.
What you'll bring
- 5+ years in data engineering or backend engineering with a strong data focus
- Deep experience building data infrastructure -- data warehouses, data lakes, streaming systems, or similar (e.g., BigQuery, Snowflake, Redshift, Databricks)
- Strong coding skills in Python and SQL; experience with Go or another compiled language is a plus
- Comfortable building and maintaining production pipelines using modern orchestration frameworks (e.g., Airflow, Prefect, dbt)
- Experience integrating diverse data sources -- APIs, event streams, relational databases, flat files
- Deep care about data quality, schema design, and building systems others can trust and extend
- Familiarity with cloud infrastructure and infrastructure-as-code (e.g., GCP or AWS, Terraform)
- Comfortable working in fast-moving environments with evolving requirements -- you write simple, reliable systems that solve real problems, not over-engineered ones
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 growing fleet as a single grid asset, factory software for our Austin manufacturing line, and the product experience that makes it all invisible to homeowners.
If you want to write code that physically moves electrons, ships hardware, and reshapes critical infrastructure, this is the job.
Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
Our Values
- 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.
Do the best work of your life at Base.
Salary context
67 other open postings titled Data Engineer state a salary: median USD 130,000 to USD 180,000 a year.
See Data Engineer salaries in the United States →
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