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Senior Electricity Market Optimization Engineer

Enverus

Texas, United States (Remote)

Senior Electricity Market Optimization Engineer

2 Months ago • 3-5 Years • Software Development & Engineering • $130,000 PA - $150,000 PA

Job Summary

Job Description

The Senior Electricity Market Optimization Engineer role at Enverus involves developing and operationalizing models for power markets. The engineer will design and implement optimization for power market applications including unit commitment, dispatch and DC power flow analysis. The role requires collaborating with software engineers and analyzing large datasets. The engineer will also be expected to apply operations research methodologies and utilize modern technologies. The ideal candidate will have experience in power market optimization and analytics. The role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world’s most dynamic and fastest-growing sector.

Must have:

Design advanced optimization for power markets.
Work with software engineers for model integration.
Gather and analyze large datasets.

Good to have:

Proficiency in Python and coding practices.
Experience with Kubernetes and APIs.

Perks:

Medical
Dental
Vision
Income Protection (disability, life/AD&D, critical illness, accident)
Employee Assistance Program (EAP)
Healthcare Spending Account (HSA), Commuter
Lifestyle & Wellbeing Program
Pet Insurance

7 skills required

7 skills required for this role

Add these skills to join the top 1% applicants for this job

saas-business-models

risk-management

game-texts

model-deployment

kubernetes

python

algorithms

Job Details

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 Senior Electricity Market Optimization Engineer to join our Power & Renewables team. This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world’s most dynamic and fastest-growing sector. 

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