Energy Engineer_ENER1H
Engie - Country United States
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- $77K-$118K From the posting source
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Energy Engineer_ENER1H Country United States What You Can Expect Data is at the heart of ENGIE's mission to provide its sustainable energy clients with superior insights for making strategic, actionable trading and dispatch decisions. Every day, Global Market Analysis forecasts hundreds of millions of individual data points on the electric grid using hybrid AI/physical models. To power this mission, we are looking for a motivated Energy Data Science eager to contribute to our forecasting platform across markets and timescales. The ideal candidate is intellectually curious, detail-oriented, and eager to learn, with a strong foundation in analytical thinking and an interest in applying statistical and computational tools to real-world energy systems. This position will be fast paced and hands-on, providing opportunities to develop technical skills and industry knowledge while contributing to improving our forecasts and operations. Day-to-day tasks will be varied, and the candidate will work closely with experienced team members to build skills and deliver impact. Analyze data, supporting model development, and assisting in evaluating model performance to help the company generate business intelligence and forecast electricity prices Work with trading teams to help interpret forecasts and promote integration and adoption Collaborate with senior team members to help assess forecast quality and support development of evaluation methodologies Collaborate with team members to expand forecasting capabilities across various time
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