Description
Why YOU want this position
At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Team:
We're looking for a Senior Data Engineer to lead the technical implementation of our next-generation Market Management System, a platform for fundamental modeling of nodal electricity markets used by power traders, utilities, renewable developers, and market participants.
This is a highly technical leadership role for someone who enjoys solving difficult data engineering problems while working closely with Product and Engineering to turn advanced models into scalable commercial software.
As the technical leader for market modeling, you will define and drive the analytical capabilities that power our Market Management System.
You'll partner with Product Management and Engineering to translate customer needs into sophisticated optimization models, forecasting capabilities, and production software.
Performance Objectives
Design and evolve large-scale, data-intensive production systems.
Build systems that process high volumes of continuously changing data.
Make architecture decisions across reliability, latency, correctness, cost, and complexity.
Own production systems after launch, including failures, incidents, and long-term improvements.
Contribute directly to production software and technical design.
Improve systems you did not originally build.
Partner with engineers, product managers, data scientists, and power-market experts.
Lead technical reviews and mentor experienced engineers.
Help teams build software they are comfortable owning in production.
Competitive Candidate Profile
Bachelor's degree in Computer Science, or a related quantitative field.
Deep experience building and operating production software or data systems in a modern development language.
Experience with large-scale streaming, event-driven, distributed, or real-time systems.
Strong software engineering skills and a history of shipping production code.
Strong SQL and experience working with large, complex datasets.
Evidence of solving problems that appeared only at scale or in production.
Experience making difficult architectural tradeoffs with incomplete information.
Strong technical judgment and the ability to explain why a decision was made.
Experience leading substantial technical initiatives across engineers or teams.
Preferred
Power-market, energy, financial-market, telemetry, or other time-series data experience.
Experience supporting forecasting, optimization, machine learning, or analytical systems.
Cloud and distributed data-platform experience.
Experience modernizing mature production systems.
Familiarity with wholesale electricity markets or ISO/RTO data.