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Meteorology Python Jobs (NOW HIRING)

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Phoenix, AZ · On-site

$50K - $60K/yr

... to meteorological or air quality data using programs/languages like VBA, Python, Java, R, GIS, etc. • State and Federal statutes, rules and regulations as they pertain to the Clean Air Act • ...

Senior Weather Analyst/ML Researcher

New York, NY

$126.90K - $127.50K/yr

... python skills for data analysis * Expertise in relevant topics such as: sub-seasonal predictability, data assimilation and numerical weather prediction, tropical variability, synoptic meteorology ...

Senior Weather Analyst/ML Researcher

New York, NY · On-site

$126.90K - $127.50K/yr

... python skills for data analysis * Expertise in relevant topics such as: sub-seasonal predictability, data assimilation and numerical weather prediction, tropical variability, synoptic meteorology ...

Senior Analyst - Expert Services

Boston, MA · On-site

$81.60K - $87K/yr

... Python. Preferred Qualifications * Experience processing large datasets, including meteorological, finance, or operating wind or solar farm data * Experience generating settlement and performance ...

... Python. Preferred Qualifications * Experience processing large datasets, including meteorological, finance, or operating wind or solar farm data * Experience generating settlement and performance ...

... Python. Preferred Qualifications * Experience processing large datasets, including meteorological, finance, or operating wind or solar farm data * Experience generating settlement and performance ...

... Python. One project will require experience in exceptional event screening for wildfires and ... Master of Science degree required, preferably in Meteorology or Biometeorology How to Apply:

... meteorological and oceanographic) information. Developer should have experience working with common ... Knowledge of using Java, Python, Javascript, and ElectronJS in developing geospatial and ...

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Meteorology Python information

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$13

$58

$86

How much do meteorology python jobs pay per hour?

As of May 30, 2026, the average hourly pay for meteorology python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Meteorology Python Developer, and why are they important?

To thrive as a Meteorology Python Developer, you need strong programming skills in Python, a solid grasp of meteorological concepts, and a relevant degree in atmospheric science, computer science, or a related field. Experience with data analysis tools (such as NumPy, Pandas, and Matplotlib), weather modeling systems, and libraries like MetPy or PyNGL is typically required. Critical thinking, strong problem-solving abilities, and effective communication help translate complex weather data into actionable insights. These skills are crucial for accurate weather analysis, efficient data handling, and effective collaboration with scientific teams.

How does a Meteorology Python specialist typically collaborate with meteorologists and data scientists on forecasting projects?

A Meteorology Python specialist often works closely with meteorologists to translate atmospheric data into actionable insights using Python-based tools. They collaborate with data scientists to develop, optimize, and maintain scripts for data analysis, visualization, and model automation. Regular interactions may include joint code reviews, sharing domain knowledge, and integrating meteorological models with advanced analytics pipelines. This teamwork ensures accurate forecasts and innovative solutions to complex weather-related challenges.

What is Meteorology Python?

Meteorology Python refers to the use of the Python programming language for meteorological data analysis, visualization, and modeling. Professionals in this area use Python to process large datasets from weather stations, satellites, and climate models, enabling them to analyze patterns, forecast weather, and visualize atmospheric phenomena. Python's powerful libraries, such as MetPy, xarray, and matplotlib, make it a popular choice for both research and operational meteorology. This skillset is valuable in meteorological agencies, research institutions, and private sectors that require weather-related data processing.

What is the difference between Meteorology Python vs Meteorology Data Analyst?

AspectMeteorology PythonMeteorology Data Analyst
Required CredentialsBachelor's in Meteorology, Computer Science, or related; Python programming skillsBachelor's in Meteorology, Data Science, or related; proficiency in data analysis tools
Work EnvironmentResearch labs, weather agencies, tech companiesWeather services, research institutions, government agencies
Employer & Industry UsageDeveloping weather models, automation, data processingAnalyzing weather data, reporting, forecasting support
Common Search & Comparison IntentFocus on Python skills in meteorologyFocus on data analysis roles in meteorology

While both roles involve meteorology, Meteorology Python emphasizes programming and developing weather models using Python, whereas Meteorology Data Analysts focus on interpreting weather data and generating reports. Both careers often require similar educational backgrounds but differ in daily tasks and skill sets.

More about Meteorology Python jobs
What cities are hiring for Meteorology Python jobs? Cities with the most Meteorology Python job openings:
What states have the most Meteorology Python jobs? States with the most job openings for Meteorology Python jobs include:
What job categories do people searching Meteorology Python jobs look for? The top searched job categories for Meteorology Python jobs are:
Infographic showing various Meteorology Python job openings in the United States as of May 2026, with employment types broken down into 22% Full Time, and 78% Contract. Highlights an 7% Physical, 17% Hybrid, and 76% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Wildfire Scientist - Impact Forecasting

Wildfire Scientist - Impact Forecasting

Aon Corporation

Boston, MA • On-site

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 hours ago


Aon rating

8.0

Company rating: 8.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

76th of 138 rated financial services


Job description

Wildfire Scientist - Impact Forecasting
This is a hybrid role with the flexibility to work both virtually and from our Boston office. Remote options within the US may be available for experienced candidates.
Aon is in the business of better decisions
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.
What the day will look like
This role will be part of Aon's Impact Forecasting Wildfire team, working at the intersection of wildfire science, meteorology, and catastrophe modeling for the (re)insurance industry. You will contribute to the development of wildfire hazard and loss models, with a strong focus on meteorological drivers of fire risk.
  • Develop and enhance wildfire catastrophe models for the (re)insurance market, with emphasis on:
    • Evaluating and processing weather reanalysis, observations, and climate change scenarios (ex, ERA, RAWS, IPCC)
    • Integration of fire danger and weather indices into modelling of wildfire occurrence and severity
  • Develop, test, and maintain data processing and modeling pipelines in R and / or Python, including automation for handling large datasets.
  • Perform model validation and verification:
    • Compare model output against historical wildfire experience
    • Document and communicate research findings back into the modeling workflow
    • Diagnose and improve model performance, especially for extreme events
  • Collaborate closely with an international and interdisciplinary team of:
    • Catastrophe model developers, meteorologists, wildfire scientists and engineers
    • Software developers and client-facing colleagues
  • Prepare technical documentation, presentations, and summaries of modeling work.

Contribute to integrating wildfire hazard modules into Aon's ELEMENTS or other modeling platforms, and support testing and quality assurance of model releases.
Skills and experience that will lead to success
  • M.S. or Ph.D. in meteorology, climatology, atmospheric science, wildfire science, environmental science, applied geoscience, a closely related field or equivalent industry experience is required
  • Strong programming / scripting skills are required, preferably in R and / or Python, are required
  • Experience with numerical models, ideally including weather, climate, or environmental models relevant to wildfire risk is required
  • Solid analytical and statistical skills, including statistical analysis of large datasets, time series, and extremes is required
  • Experience working with geospatial data and tools, such as ArcGIS and QGIS) is preferred
  • Experience with SQL or other database tools is preferred
  • Experience with catastrophe (CAT) modeling is preferred

Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon's discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.
For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.
Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
The salary range for this position (intended for U.S. applicants) is $115,000 to $140,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.
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About Aon

Sourced by ZipRecruiter

Aon plc (NYSE:AON) is a leading global professional services firm providing a broad range of risk, retirement and health solutions. Our 50,000 colleagues in 120 countries empower results for clients by using proprietary data and analytics to deliver insights that reduce volatility and improve performance.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1992