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Meteorologist

Job in Tualatin, Washington County, Oregon, 97062, USA
Listing for: Portland General Electric
Full Time position
Listed on 2026-06-03
Job specializations:
  • Engineering
    Environmental Compliance
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below
At PGE, our work involves dreaming about, planning for, and realizing a smarter, cleaner, more enduring Oregon neighborhood. Its core to our DNA and we haven’t stopped since we started in 1888. We energize lives, strengthen communities and drive advancements in energy that promote social, economic and environmental progress. We’re always on the lookout for people passionate about leading and being a part of teams that are advancing innovative clean energy solutions that are also affordable and accessible to all.

Meteorologist Portland General Electric is seeking a meteorologist with skills in operational and fire weather forecasting, as well as data science. The primary responsibility will be to create a daily forecast to and provide briefings to keep operations and emergency management informed of potentially impactful weather including wind, ice, snow, and fire. The candidate must have expertise in forecasting critical fire weather patterns that lead to high fire danger.

The successful candidate will also produce seasonal weather outlooks, lead or support the development of predictive models, and support the development of tools, dashboards, and other forecast products to advance forecasting and fire environment analysis.

This position will also serve on the PGE incident management team when the Emergency Operations Center is activated supporting situational awareness and incident response operations , including public safety power shutoffs to mitigate the risk of wildfires.

Primary

Job Responsibilities:

Interpret meteorological data and forecasts to produce a daily impacts-based forecast and briefing for operations

With a strong understanding of both probabilistic and deterministic modeling, work collaboratively with meteorologists, data scientists and risk modeling team to support development of predictive modeling for outage and ignition probability.

Advance the development of meteorological tools for fire environment analysis

Develop and maintain user interfaces for meteorology tools that provide actionable situational awareness insights

Analyze historical weather data to support fire environment and impactful weather event analysis

Effectively communicate findings from data analysis and forecast information to deliver reports to a variety of stakeholders

Collaborate with diverse teams to develop plans and procedures

Develop relationships and collaborate with both internal and external stakeholders, data scientists, project managers, engineering, operations, analysts and leadership to develop data driven solutions for weather, climate, and risk assessment models

Assist with managing PGE’s weather station network including siting new locations and managing network data Provide weather analysis to support wildfire risk assessments including development or refinement of High Fire Risk Zones Secondary

Job Responsibilities:

Assist storm preparedness and power restoration efforts by providing concise, detailed forecasts during periods of extreme weather to a variety of stakeholders. This may result in shift work, and extended hours.

Qualifications:

Required:

Education:

Bachelor’s degree in Meteorology, Atmospheric Sciences, or related area of study

Experience:

Typically 5+ years in operational weather forecasting, prefer 2+ years in fire weather forecasting (including completion of S290: Introduction to Wildland Fire Behavior)

Preferred Qualifications:

Demonstrated knowledge of meteorological phenomena, fire science/behavior, climatology, geography, forecasting techniques, weather model analysis, data science and programming languages.

Proficiency in using meteorological software, tools, and data sources

Ability to ingest, decode, analyze, and visualize meteorological observational and model data Demonstrated experience and expertise in the utilization of Python for geospatial data analysis

Thorough understanding of various probabilistic and ensemble forecasting methodologies, with particular emphasis on the utilization of probabilistic numerical weather prediction methods for determination and presentation of various weather risks

Knowledge of Pacific Northwest meteorology

Experience preparing findings and…
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