Software Engineer, Analytics & Data Infrastructure

About this role

Base is seeking a Data Engineer to design and operate backend data infrastructure for a distributed battery network transforming the power grid. You'll own end-to-end data pipelines, systems, and platforms that ingest telemetry from thousands of batteries, market signals, and operational systems, making data reliable and accessible across the company.

What you'll do

• Build and maintain backend systems that ingest, transform, and serve data across the company
• Design and operate reliable batch and streaming data pipelines end-to-end
• Develop data models and schemas for high-volume time-series and event data
• Manage ingestion from diverse sources including IoT telemetry, APIs, and operational systems
• Build platforms for cross-functional teams to query and visualize data
• Ensure data quality, consistency, and governance across source-of-truth datasets

What they're looking for

• 5+ years data engineering or backend engineering with data focus
• Data infrastructure experience (BigQuery, Snowflake, Redshift, Databricks)
• Python and SQL proficiency
• Production pipeline orchestration (Airflow, Prefect, dbt)
• Multi-source data integration (APIs, streams, databases)
• Cloud infrastructure and infrastructure-as-code (GCP/AWS, Terraform)
• Schema design and data quality practices
• Go or compiled language experience (preferred)