Equilibrium Energy

Frontend Engineer

• Participate in critical frontend architecture decisions and strategic initiatives, shaping the experience for both internal customers and large power companies.
• Build a deeply interconnected ecosystem of front end applications within a complex domain, creating software that enables both powerful automation and human agency.
• Navigate complex, ambiguous problem spaces and translate intricate domain requirements into elegant, scalable UIs.

Senior Front-End Engineer

Data Engineer

• 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.

Software Engineer – Data Engineering, Staff/Sr Staff

Full-stack Engineer

• Abstract away the complexities behind the deployment and orchestration of a large number of forecasting workflows, enabling a fast model development lifecycle for our Science team
• Integrate with data and compute infrastructure to optimize resource utilization and performance
• Implement automated testing and monitoring for ML models in production
• Maintain and iterate on our model registry and experiment tracking
• Co-design frameworks that support model experimentation, hyperparameter tuning, training, and deployment
• Partner with our Data Services team to incrementally improve our feature store and tie it to the EQ ontology
• Collaborate closely with data scientists to understand new model requirements and together implement solutions that are robust, validated, and scalable
• Collaborate with the Science Platform Simulation team to incorporate forecasting into physical and portfolio asset optimizations
• Partner with our Product and Customer Delivery teams to enable external customers to perform similar tasks to our internal scientists, with minimal code divergence and following security best practices
• Stay up-to-date with the latest advancements in ML engineering and integrate best practices into the platform

Senior Front-End Engineer

Software Engineer – Data Engineering, Staff/Sr Staff

Software Engineer – ML Platform, Staff/Sr Staff