Senior Data Engineer - 26206

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.

The Senior Data Engineer will lead the technical implementation of the Market Management System and design large-scale, data-intensive production systems. They will collaborate with product managers and data scientists to translate complex market needs into scalable software solutions.

Candidates must have a bachelor's degree in Computer Science or a related quantitative field and deep experience building production software. Strong proficiency in SQL, distributed systems, and architectural decision-making is required for this role.

• SQLPreferred

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• Data Engineering
• Software Engineering
• SQL
• Distributed Systems
• Streaming Data
• Event-driven Architecture
• Optimization Models
• Forecasting
• Technical Leadership
• System Architecture
• Cloud Platforms
• Time-series Data
• Production Systems
• Mentoring
• Analytical Systems
• Renewable Energy Development
• Generative Artificial Intelligence
• Business Operations
• Technical Design
• Automation
• Financial Institution
• Capital Allocation
• Investments
• Software As A Service (SaaS)
• Computer Science
• Distributed Data Store
• Energy Technology
• Event-Driven Programming
• Financial Market
• Oil and Gas
• Renewable Energy
• Scalability
• Innovation
• Language Experience Approach
• Machine Learning
• Product Management
• Telemetry
• SQL (Programming Language)
• Software Technical Review
• Technology Assessment
• Time Series
• Wholesaling
• Reliability
• Production Code

• Data & Analytics
• Software
• Engineering
• Energy
• Technology
• Data Engineer
• Generative Artificial Intelligence Engineer
• Software Developers
• Computer and Information Research Scientists

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week