Integration Capacity Analysis; ICA), Engineer

Join the Clean Energy Revolution

Become an Integration Capacity Analysis Engineer 3 at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll lead complex system studies and take ownership of how those studies are performed, including defining assumptions, validating models, and ensuring high‑quality outputs. You will play a central role in shaping ICA methodologies and advancing planning approaches by integrating forecasting, scenario analysis, and operational considerations into the work.

In parallel, you will also design and enhance ICA engines, tools, and data pipelines, while driving model integrity, data quality improvements, and cross‑functional alignment with Distribution Engineering, Interconnection, Regulatory, and IT teams. You will also provide technical leadership by guiding junior engineers, reviewing work products, and setting direction on ambiguous or high‑impact initiatives. This work advances distribution system planning by transitioning ICA from a reactive study process to a proactive, forward‑looking planning capability aligned with DSP objectives.

Tool and methodology development will enable scalable, transparent capacity insights that improve visibility into system constraints for both load and DER interconnections. Ultimately, they will elevate the credibility, usability, and strategic value of ICA as a foundational input to planning, investment, and customer‑facing decisions.

As an Integration Capacity Analysis Engineer 3, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

• Ensures technical issues and problems are resolved in a timely, efficient and cost‑effective manner utilizing available resources.
• Supervises, leads, and coordinates work with full‑time and contract employees in the execution of new technical strategies, equipment or standards.
• Conducts life cycle assessments for utility infrastructure materials and processes; improves preventive maintenance procedures to decrease overall downtime.
• Conducts risk assessments and implements risk mitigation strategies to ensure the safety and reliability of engineering projects.
• Supports audits and inspections; ensures compliance with relevant environmental, health, and safety regulations.
• Provides engineering and technical expertise and guidance for the identification, analysis and resolution of high‑impact, complex and/or cross‑functional problems in engineering.
• Ensures the engineering facility design basis is controlled and design basis documentation is maintained. Conducts engineering and related studies with full technical responsibility for planning and coordinating high‑impact complex projects.
• Provides support and technical training to junior engineering levels.
• A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

• Bachelor's Degree in Engineering or Bachelor's Degree in a scientific/technical/math field.
• Five or more years of experience in engineering within operations, production, construction or maintenance environments.
• Possess a valid Class C Driver's License.

• Foundational knowledge of power systems, statistics, or data analytics, with the ability to apply these concepts to capacity evaluation, time‑series analysis, and distribution system modeling.
• Experience with power flow modeling, short circuit duty analysis, detailed engineering analyses, with strong analytical and troubleshooting skills to identify issues and improvement opportunities.
• Experience using Python, SQL, Snowflake, or similar tools to manage large datasets, automate processes, and support workflows.
• Experience with machine learning or AI techniques to improve turnaround times, automate data processes, and support advanced analytical studies.
• Experie…