Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Ripple Effect Consulting's client's industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It's both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary As the Senior Fullstack Engineer, you will be responsible for building robust, data-rich applications and enjoy working across the stack while providing technical leadership. You'll work closely with product, infrastructure, and fellow engineers to scale a sophisticated SaaS platform that delivers high-impact insights to our users. Position Details Salary range: 120,000 - 160,000 USD, Dependent on Experience Location: Ripple Effect Consulting's client Core Offices (Boulder, CO preferred, Chicago IL, Boston MA) Full-time Hybrid Reporting to: Engineering Manager Primary Responsibilities Develop and maintain a data-heavy web application built in React, optimizing user experience and performance. Bring insight and creativity to data visualization, helping users understand and interact with complex datasets clearly and meaningfully. Architect and implement complex, high-impact systems, driving feature-rich, scalable solutions from design to deployment. Participate in product and design discussions, understand the "why" behind decisions, and contribute thoughtful, scalable implementation strategies. Work cross-functionally to drive the company's technological innovation, aligning closely with product managers, designers, and data engineers. Engage in all phases of the software development lifecycle: requirements analysis, system design, development, testing, deployment, and production support. Set technical direction, define engineering best practices, and actively mentor junior and mid-level developers. Perform peer code reviews, provide architectural guidance, and offer constructive feedback on data modeling and feature implementation.