Entry Level Distribution Engineer Jobs
New grad distribution engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where strong internship work or hands-on coursework in logistics and supply chain systems can matter more than a long resume. Most openings are on-site roles across Consulting & Professional Services, Technology & Software, and Energy, with employers like 4P Consulting, WSP, and Parsons hiring at this level now.
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Job Title:
Distribution Grid Modeling and Analytics - Engineer Staff III
Location:
EI - Canada Office, EPRI Knoxville Office, Knoxville, TN, Remote/Home Based
Job Summary and Description:
Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.
The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies.
This position conducts research in advanced power system modeling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.
Key Responsibilities:
- Makes significant contributions to advanced modeling, simulation, and analytics projects
- Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges
- Evaluate emerging technologies and applications through analytical and field-based studies
- Contribute to technical publications, conference papers, webinars, and industry presentations
- Support proposal development and strategic research planning activities
- Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption
- Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations
- Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration
- Conduct model verification and validation activities using utility measurement data
- Assess the applicability, limitations, and performance of emerging AI technologies within utility environments
Ideal candidate:
- Strong knowledge of power system fundamentals, specifically distribution systems
- Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages
- Experience with distribution system model development, validation, and verification
- Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources
- Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation
- Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory
- Experience applying AI, machine learning, or advanced analytics techniques to power system applications
- Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable
- Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads
Preferred Education:
- Bachelor’s degree in a technical field or equivalent experience
- Preferred MS or PhD in Electrical Engineering with Power System emphasis
- Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.
Location:
This role is based out of our Knoxville, TN office. Remote work considered for the right candidate.
The salary range for this position is $92,000 USD to $101,000 USD annually. This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This role is eligible to participate in EPRI’s annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan. This role is eligible to participate in EPRI’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
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Entry Level Distribution Engineer Jobs: Frequently Asked Questions
How do I get an entry level distribution engineer job?
Entry level distribution engineer roles typically look for candidates with a degree in industrial engineering, supply chain management, or a related field, plus any hands-on exposure through internships, co-ops, or coursework in warehouse operations or logistics systems. Familiarity with inventory management software, process improvement methods like Lean or Six Sigma fundamentals, and strong analytical skills give candidates a clear edge at this stage.
Which companies hire entry level distribution engineers?
Companies hiring entry level distribution engineers right now include 4P Consulting, WSP, and Parsons, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from large manufacturers, third-party logistics providers, e-commerce fulfillment operations, and consumer goods companies that maintain high-volume distribution networks and regularly bring in new graduates to support engineering and operations teams.
Are there remote entry level distribution engineer jobs?
Yes, though most distribution engineer roles at this level are on-site given the hands-on nature of the work. About 50% of entry level distribution engineer openings are remote or hybrid as of November 2026, and those tend to involve data analysis, network modeling, or systems coordination rather than direct floor operations. Hybrid schedules are more common at larger companies with established remote work programs.
Are these new grad distribution engineer jobs?
Yes, the listings on this page include new grad, recent graduate, and junior distribution engineer roles. A posting is typically new-grad friendly when it welcomes zero to two years of experience, accepts internships or co-op rotations in lieu of full-time history, or explicitly invites candidates with a relevant degree and a strong academic or project portfolio. Many employers at this level expect to train the right candidate on company-specific systems.
Which industries hire the most entry level distribution engineers?
Entry Level distribution engineer roles concentrate in Consulting & Professional Services, Technology & Software, and Energy, based on current listings on Migrate Mate as of November 2026. These sectors drive consistent hiring at the entry level because they operate complex, high-throughput distribution networks that depend on a steady pipeline of engineering talent to support capacity planning, process optimization, and facility operations.