Data Infrastructure Engineer (Backend & Pipelines)

base-power; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Base is building America’s next-generation power platform with a backend data focus. We are seeking a Software Engineer for the Data Infrastructure team to design, build, and operate backend data infrastructure powering dashboards, models, and APIs.

You will own end-to-end data pipelines, data models, and data quality governance across diverse sources while collaborating with software, hardware, markets, and operations teams in a fast-paced startup environment.

Qualifications

• 5+ years in data engineering or backend engineering with a strong data focus.
• 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 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.

Responsibilities

• Ingest, transform, and serve data across the company -- from raw telemetry and operational events to clean, queryable datasets used in dashboards, models, and APIs.
• Design, build, and operate reliable batch and streaming data pipelines with a focus on correctness, performance, and scalability. Own ETL processes end-to-end.
• Build foundational schemas and canonical datasets that store high-volume time-series and event data for analytics and decision-making.
• Manage ingestion across a wide range of data sources -- IoT telemetry, third-party APIs, operational systems, and internal services.
• Build and maintain platforms that let cross-functional teams query, explore, and visualize data without needing to understand the underlying infrastructure.
• Ensure source-of-truth datasets are consistent, documented, and trustworthy. Improve observability for confident data use.
• Help define and evolve our data architecture, tooling, and best practices as we scale.

Skills

5+ years data eng

Data warehousing

Python

SQL

Go

Airflow

AWS

GCP

Time-series data

Data modeling

Tools

BigQuery

Snowflake

Redshift

Databricks

Job description

Base is building America’s next-generation power platform with a backend data focus. We are seeking a Software Engineer for the Data Infrastructure team to design, build, and operate backend data infrastructure powering dashboards, models, and APIs.

You will own end-to-end data pipelines, data models, and data quality governance across diverse sources while collaborating with software, hardware, markets, and operations teams in a fast-paced startup environment.