Data Platform Engineer (Staff / Sr Staff)

Key Responsibilities:

• Design and implement data cataloging infrastructure so engineers can discover what data exists, what it means, and how it relates to other data
• Build lineage capabilities that allow teams to understand data provenance and trace how data flows through our systems
• Define and implement consistent data access patterns and libraries that ML Engineers, Application Engineers, and Data Scientists use to interact with the data platform
• Create self-serve tooling that reduces the friction for teams to find and use the data they need without requiring hand-holding

This role enables a cleaner, more resilient energy future by building the data infrastructure that powers AI forecasting and optimization models to transform the power sector.

The minimum qualifications you'll need:

• 7+ years of experience in software engineering, with a focus on data infrastructure
• Strong proficiency in Python and SQL
• Experience with modern data stack components such as Databricks, Spark, dbt, or similar
• Experience designing and building internal platforms, frameworks, or libraries used by other engineers
• Familiarity with data cataloging, metadata management, or lineage tools (e.g., DataHub, Amundsen, Unity Catalog, OpenLineage)

Employee benefits include:

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package
• Opportunity to own a significant piece of the company via a meaningful equity grant
• Unlimited vacation and flexible work schedule
• Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

Equilibrium Energy is a team of technologists, power market experts, and AI pioneers building a first-of-its-kind AI operating system for the power sector to enable a cleaner, more resilient energy future.