Senior Engineer - Grid Analytics & Technology Solutions

Puget Sound Energy • Bellevue, WA

17h

About The Position

The Senior Engineer - Grid Analytics & Technology Solutions is responsible for the operation, maintenance, and continuous improvement of Electric System Planning’s distribution system modeling platform. This position places a strong emphasis on backend data management, database administration, automation, GIS-model connectivity, and system integration to ensure planning tools such as Synergi Electric and associate analytics platforms are accurate, scalable, and production-ready.

This role supports planning studies, system reliability analysis, capacity planning, asset management, and other planning and operational needs across the electric distribution system. The Senior Modeling Tools Engineer works closely with engineering and data science teams to interpret, validate, and prepare engineering and operational data used in analytical and predictive models.

Serving as a bridge between power system engineering, data science, and backend tooling, this position ensures that modeling tools, datasets, and automated workflows effectively enable forwardlooking analysis and informed decision making. The role supports grid modernization initiatives and the integration of smart grid technologies, including distributed energy resources (DER), advanced metering infrastructure (AMI), and distribution automation (DA).

The Senior Modeling Tools Engineer provides technical leadership by supporting modeling standards, best practices, documentation, and governance frameworks, and by guiding the development of repeatable, transparent, and reproducible modeling and analytics environments.

The successful candidate is excited about realizing the future of energy delivery while meeting customers’ needs today, demonstrates curiosity and commitment to learning, and is passionate about driving continuous improvement at a system and organizational level.

Requirements

• Bachelor of Science degree or PE license in electrical, mechanical, civil or other appropriate engineering field. A PE license may qualify in lieu of a degree.
• Substantial experience in planning, design, specification preparation, technical field work, project cost estimating and scheduling (typically achieved after eight (8) or more years practice as a degreed engineer). Years of acquired experience is provided as a guide and alone does not constitute readiness for job level as individual’s skill acquisition rates can vary significantly.
• Demonstrated organization, documentation, prioritization, and project management skills.
• Strong interpersonal and communication skills.

Nice To Haves

• Experience working in the utility industry.
• Possession of a Professional Engineering license.
• Knowledge of engineering economics and utility accounting practices.
• Experience working on complex engineering projects.
• Demonstrated ability to lead and execute complex engineering work involving ambiguous problem statements, cross-functional coordination, and long-term technical impact.
• Demonstrated experience interpreting engineering and operational data to support analytical studies, scenario analysis, or predictive modeling.
• Proficiency in backend data, analytics, or automation environments, including relational databases, scripting languages, and data pipelines.
• Experience supporting modeling tools, backend systems, and data workflows, including maintenance, configuration, and enhancement of modeling platforms.
• Experience mentoring or providing technical guidance.
• Strong interpersonal and communication skills.

Responsibilities

• Extract data from spreadsheet and database sources and load into SQL Server–based modeling databases; develop and maintain automated ETL pipelines using Python and pandas to support model preparation and analytics.
• Maintain and administer backend databases supporting power system modeling and analytics, including data validation, schema management, performance optimization, and backup procedures, ensuring data integrity and system performance.
• Develop and maintain automation and scripts to support weekly model builds, data quality validation, automated reporting, and repeatable analytical workflows.
• Implement process monitoring, failure detection, and alerting for critical modeling and analytics pipelines to ensure reliability and timeliness.
• Maintain GIStomodel data workflows between Smallworld, ESRI Utility Network, and engineering models, ensuring accurate geometric and electrical connectivity and supporting spatial data analysis requirements.
• Configure and maintain Synergi Electric equipment libraries, including transformers, conductors, switches, and protection devices, with accurate electrical parameters and device settings.
• Process, clean, and apply time series data, including load profiles, generation patterns, and voltage measurements, to support planning studies, model validation, and predictive analytics.
• Work closely with engineering and data science teams to interpret, validate, and prepare engineering and operational data for analytical and predictive models.
• Serve as a technical liaison by translating engineering requirements into data specifications, validating analytics model inputs, and communicating technical findings to stakeholders with diverse technical backgrounds.
• Establish and support modeling standards, best practices, and governance frameworks; provide technical guidance and mentorship and influence tool enhancement priorities and investment decisions based on system impact and business value.
• Maintain documentation for models, datasets, and analytics workflows; support version control using SQL and Git and change management practices to ensure transparency and reproducibility.
• Develop and maintain system integration interfaces and API classes with utility systems such as AVEVA PI Web API, ASPEN Database, GIS, AMI, SCADA, OMS, EMS, supporting automated data extraction, transformation, and loading between systems.
• Support ongoing and future integration of modeling and analytics platforms to enable forwardlooking analysis and informed decision making.
• Troubleshoot data quality and model performance issues by distinguishing between data defects, tooling limitations, and engineering intent, in collaboration with planners and data scientists.
• Support emergency response work as requested and perform other duties as assigned.

Benefits

• Employees are eligible for medical, dental, vision, basic life, and short- and long-term disability insurance.
• There are additional voluntary options of supplemental life insurance, accidental death and dismemberment insurance, flexible spending accounts for health care and dependent daycare, and an Employee assistance program (EAP).
• For long term savings, PSE offers a 401(k) investment option and a cash balance retirement plan.
• Employees will also receive Paid Time Off (PTO) and Paid Holidays throughout the calendar year.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees