Electrical Engineer

Spectraforce Technologies; San Ramon (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Spectraforce Technologies in San Ramon, CA is seeking an Electrical Engineer for a 12-month onsite engagement. The candidate will apply strong analytical skills to distribution engineering, interpret Smart Meter data, and collaborate with field operations and control engineers to validate ML-driven predictions.

Ideal candidates have experience with large datasets, power flow analysis, and protective device settings.

Qualifications

• Electrical engineer with strong analytical skills.
• Familiarity with electric distribution equipment, protective device settings, and distribution power flow analysis.
• Interpret Smart Meter data and predictive alerts to guide field operations.
• Work with large datasets to improve model accuracy and reduce false positives.
• Collaborate with field ops, Protection & Control, and engineering teams to validate ML predictions.
• Thorough investigative skills.

Responsibilities

• Translate results into actionable insights for field operations and asset management teams.
• Partner with engineering teams to validate machine learning driven predictions.

Skills

Analytical skills

Electric distribution

Protective device settings

Power flow analysis

Smart Meter data

Data analysis

Cross-functional collaboration

Investigative skills

Education

B.S. in Electrical Engineering

Job description

Title: Electrical Engineer

Location: San Ramon, CA 94583 (100% Onsite)

Duration: 12 months

Description

Top Things:

• Electrical engineer with strong analytical skills and knowledge of distribution engineering.
• B.S. in Electrical Engineering * Familiarity with electric distribution line equipment, protective device settings, electric distribution operations, and distribution power flow analysis
• Ability to interpret Smart Meter data and predictive alerts and translate results into actionable insights for field operations and asset management teams to predict and prioritize transformer defects and overhead/underground electrical line defects.
• Experience working with large datasets (e.g., historical defect data, inspection records, and operational data) to improve model accuracy and reduce false positives.
• Experience collaborating with field operations, Protection & Control, and engineering teams to validate machine learning-driven predictions.
• Thorough investigative skills.