Power Systems Engineer – Distribution Planning & Modeling III

We are designing the grid of the future!

In this role you will support a diverse portfolio of utility clients by delivering high-quality consulting services focused on distribution system modeling planning and data-driven analysis. You will play a key role in helping clients make informed decisions aligned with the evolving energy landscape.

Your work will support distribution planning efforts through technical studies analytical tool development and clear communication of complex engineering concepts. This includes preparing professional reports and presentations and contributing to projects that integrate power system engineering with advanced data analytics.

Howyou can make an impact:

You will support our clients through the execution of various distribution planning consulting services including (but not limited to) the following:

• Perform distribution planning studies across multiple software platforms while applying planning criteria and conducting mitigation and alternatives analyses.
• Evaluate the impacts of load growth and distributed energy resource (DER) interconnections recommend cost-effective mitigation measures and identify feasible alternatives.
• Assess multi-year utility system plans in alignment with client objectives and state or jurisdictional requirements.
• Conduct research related to the proliferation of DERs and advanced distribution technologies such as solar wind energy storage electric vehicles conservation voltage reduction distribution automation and system restoration.
• Develop and maintain data-driven solutions for distribution system analysis including data processing pipelines analytical and simulation models and visualization or decision-support tools.
• Design and implement analytical tools scripts and workflows (Python- and/or SQL-based) to improve efficiency automation and reproducibility of studies.
• Analyze historical distribution system data (e.g. AMI SCADA DER EV data) to identify trends anomalies and planning insights.
• Support the development of data standards model validation processes and integration between engineering tools and enterprise data systems.
• Apply statistical analysis and basic machine learning techniques to support distribution load forecasting and planning.
• Develop and maintain data-driven solutions for distribution system analysis including data processing pipelines analytical and simulation models and visualization or decision-support tools.
• Design and implement analytical tools scripts and workflows (Python- and/or SQL-based) to improve efficiency automation and reproducibility of studies.
• Analyze historical distribution system data (e.g. AMI SCADA DER EV data) to identify trends anomalies and planning insights.
• Support the development of data standards model validation processes and integration between engineering tools and enterprise data systems.
• Apply statistical analysis and basic machine learning techniques to support distribution load forecasting and planning.
• Participate in multi-disciplinary teams to gather input address comments and deliver coordinated study results.
• Take responsibility for the timely completion of assigned projects while meeting quality scope and budget objectives.
• Perform technical reviews of studies completed by other engineers and provide constructive feedback to ensure high-quality deliverables.
• Mentor and collaborate with team members while contributing to a positive and solutions-oriented work environment.
• Perform other related duties as assigned.

Bring your passion heres whats needed:

• Bachelor of Science in Electrical Engineering. Master of Science or higher preferred
• Minimum 4 years of experience related to distribution utilities/power systems (i.e. electric cooperatives municipalities investor-owned utilities research labs etc.)
• Strong technical skills and understanding related to utility distribution systems.
• Distribution modeling software experience in at least one software platform (CYME Synergi Electric openDSS etc.)
• Strong problem-solving and analytical skills with the ability to translate power system engineering problems into data-driven solutions including data processing statistical analysis and model development.
• Experience in distribution system data analysis including SCADA data DER data EV data and AMI data.
• Familiarity with handling large datasets experience with actual distribution system measurements (e.g. EV AMI SCADA) quality control and developing reproducible analysis workflows.
• Familiarity with statistical analysis and basic machine learning techniques applied to distribution load forecasting.
• Experience in automation/programing (Python and/or SQL preferred).
• Proven team player skilled in mentoring and building strong internal and external relationships.
• Strong organizational and communication skills both written and verbal particularly with respect to explaining technical matters.
• Strong interpersonal problem solving and analytical skills.
• Capable of managing multiple tasks.
• Flexible with the ability to manage change
• Have high standards and pride in producing quality reports and products
• Strong technical report writing skills

Lead the change!

Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century Electric Power Engineers (EPE) has partnered with power and energy clients across the globe providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space we are focused on building a modern secure and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.

How we support you:

• Comprehensive health and wellness benefits including medical dental and vision with 100% premium coverage foryou
• Generous PTO and paid holidays
• MyShare Employee Ownership Program
• Work with industry leaders
• 401K up to a 4% match (100% vested from day 1)

Location: This position will be remote US

Travel: Occasional travel may be needed (10% or less)

EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster and its supplement are available using the following links:EEOC is the Law Poster

Third-Party Recruiting Notification

EPE does not accept unsolicited resumes fromthird-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information may be treated as a direct application from the person identified in the resume and will not be eligible for placement fee payment to the will not pay a fee to a third-party recruiter or agencywithout a previously signed third-party agreementand has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.

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