Integration Capacity Analysis Engineer 3 (Power Systems)

Location: Hybrid in Pomona, California, US; employees are generally required to work and reside in California. The role requires reporting to an SCE facility on set days, remote work on remaining days, and up to 10% travel throughout the SCE service territory. Relocation does not apply.

Salary: $129,200–$193,700 per year

Company

hirify.global develops and operates electric utility infrastructure supporting cleaner energy, system reliability, and Southern California communities.

What you will do

• Lead complex Integration Capacity Analysis studies by defining assumptions, validating models, and ensuring high-quality outputs.
• Shape ICA methodologies by integrating forecasting, scenario analysis, operational considerations, and distribution-system planning objectives.
• Design and enhance ICA engines, analytical tools, and data pipelines for scalable capacity insights.
• Improve model integrity and data quality while coordinating with Distribution Engineering, Interconnection, Regulatory, and IT teams.
• Resolve complex and cross-functional engineering problems, conduct risk assessments, and support audits, inspections, and compliance activities.
• Provide technical leadership, review engineering work products, coordinate employees and contractors, and train junior engineers.

Requirements

• Bachelor's degree in engineering or in a scientific, technical, or mathematics field.
• Five or more years of engineering experience in operations, production, construction, or maintenance environments.
• Valid Class C driver's license.
• Knowledge of power systems, statistics, or data analytics applicable to capacity evaluation, time-series analysis, and distribution-system modeling.
• Experience with power-flow modeling, short-circuit duty analysis, detailed engineering analysis, and technical troubleshooting.
• Ability to work and reside in California and report to the Pomona facility under the hybrid work arrangement.

Nice to have

• Experience with Python, SQL, Snowflake, or similar tools for large datasets, process automation, and workflow support.
• Experience with machine learning or AI techniques for data automation and advanced analytical studies.
• Experience developing data visualizations or dashboards.
• Strong communication skills for presenting complex technical concepts to technical and non-technical audiences.
• Curiosity, continuous-improvement focus, and an ownership mindset.

Culture & Benefits

• Hybrid work mode with remote work available on designated days.
• Work focused on clean energy, carbon-emission reduction, and electric-system reliability.
• Field exposure across the SCE service territory, with travel of up to 10%.
• NERC/CIP compliance requirements, including a pre-employment Personnel Risk Assessment or background investigation and specified training before unescorted access.
• Reasonable accommodations are available during the application and employment process.