Software Engineer- Data Engineering (Staff/ Sr Staff)

Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy.

Requirements

• Design and implement the long-term data architecture using modern technologies and frameworks.
• Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt—ingesting data via APIs, web scraping, and streaming sources.
• Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster.
• Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store.
• Optimize workflows for performance and cost efficiency.
• Drive large, cross-functional data initiatives from planning to execution.
• Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics.
• Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products.
• Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design.
• Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing.

Benefits

• Competitive base salary
• Comprehensive medical, dental, vision, and 401k package
• Opportunity to own a significant piece of the company via a meaningful equity grant
• Unlimited vacation
• Flexible work schedule
• Accelerated professional growth and development opportunities