Senior Electricity Market Optimization Engineer
4 Months ago • 3-5 Years
Job Description
The Senior Electricity Market Optimization Engineer role involves developing and operationalizing models to help clients navigate the complexities of modern power markets. Responsibilities include designing and implementing optimization for power market applications, collaborating with software engineers, gathering and analyzing large datasets, and applying operations research methodologies. The role requires expertise in power market modeling, production cost analysis, and advanced optimization techniques, utilizing cutting-edge technologies and data engineering practices.
Must Have:
- Experience in power market optimization and analytics.
- Proficiency in operations research theories and applications.
- Strong proficiency in Python for clean coding.
- Familiarity with Kubernetes for container orchestration.
Description
Senior Electricity Market Optimization Engineer
Why YOU want this position
Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions that increase profit. Enverus’ innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries.
We are currently seeking a talented Senior Electricity Market Optimization Engineer with expertise in power market modeling, production cost analysis, and advanced optimization techniques. In this role, you will work within our forecast team to develop and operationalize robust models that help clients—from asset managers and utilities to power traders— navigate the complexities and volatility of modern power markets. Our team seamlessly combines cloud computing expertise, deep domain knowledge, and rigorous software engineering practices to deliver impactful, data-driven solutions in the energy sector. If you’re passionate about leveraging cutting edge technologies and best-in-class data engineering practices, while upholding the highest standards in code quality and production-grade solutions, we’d love to hear from you.
Performance Objectives
Model & Production Cost Development
- Design, develop, and implement advanced optimization for power market
applications—including unit commitment, dispatch, and DC power flow analysis.
Collaboration & Integration
- Work closely with software engineers to operationalize and maintain models, ensuring
seamless integration into production-grade systems.
Data Engineering & Analysis
- Gather, cleanse, and analyze large datasets from diverse sources to validate models,
leveraging best practices in data engineering.
Technical Excellence
- Apply robust operations research methodologies (linear, nonlinear, and integer programming) to translate complex market dynamics into actionable insights.
Technology Stack
- Utilize modern technologies such as Kubernetes for container orchestration, work with APIs for enhanced integration, and employ advanced data engineering tools to ensure scalable and efficient model deployment.
Competitive Candidate Profile
Educational Background
- Bachelor’s degree in Operations Research, Applied Mathematics, Computer Science,
Statistics, Electrical Engineering, or a related field; Master’s or PhD preferred.
Industry Experience
- 3-5 years of hands-on experience in power market optimization and analytics, with a proven
track record of developing and deploying models—especially production cost models—in a production environment.
Technical Expertise
- Proficiency in operations research theories and applications (linear, nonlinear, and integer programming).
- Experience with optimization modeling languages and solvers, particularly CPLEX and Pyomo.
- Expertise in unit commitment & dispatch algorithms.
- Expertise in Power Flow Modeling.
Software & Data Engineering Skills
- Strong proficiency in Python with a commitment to writing clean, production-grade code and adhering to best coding practices.
- Familiarity with Kubernetes for container orchestration, API development/integration, and modern data engineering practices.
- Ability to bridge the gap between electrical engineering principles and high-quality software development.
Soft Skills
- High energy, meticulous attention to detail, self-motivation, innovative problem-solving, and a strong commitment to continuous improvement.
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