ZipRecruiter

Log In

1

Meteorology Python Jobs (NOW HIRING)

Portland General Electric

Meteorologist

Tualatin, OR · On-site

Develop and maintain user interfaces for meteorology tools that provide actionable situational ... Demonstrated experience and expertise in the utilization of Python for geospatial data analysis

next page

Showing results 1-20

All JobsMeteorology Python Jobs

Meteorology Python information

See salary details

$13

$58

$86

How much do meteorology python jobs pay per hour?

As of Jul 23, 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.

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.

Do meteorologists use Python?

Meteorologists often use Python for data analysis, modeling, and visualization due to its extensive libraries like NumPy, Pandas, and Matplotlib. Proficiency in Python can enhance forecasting accuracy and streamline data processing in meteorology roles.

Is meteorology being replaced by AI?

Meteorology as a field is increasingly integrating AI and machine learning to improve weather prediction accuracy and data analysis. However, human meteorologists remain essential for interpreting complex data, making judgments, and communicating forecasts, so AI complements rather than replaces the profession.

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.

What is the highest paying job in meteorology?

The highest paying jobs in meteorology are often senior roles such as atmospheric scientists or meteorological managers, especially in government agencies, private industry, or research institutions. These positions typically require advanced degrees, specialized skills, and experience, and can offer salaries exceeding $100,000 annually.

What Python jobs are in demand?

Python jobs in demand include roles such as data scientist, software developer, machine learning engineer, and automation engineer. These positions often require skills in data analysis, scripting, and familiarity with frameworks like TensorFlow or Django, with many employers seeking candidates with experience in cloud platforms and version control tools.

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.

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.
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:
Meteorology Python jobs near you
Infographic showing various Meteorology Python job openings in the United States as of July 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Part Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Applied Meteorology Data Scientist

Applied Meteorology Data Scientist

Southern Company

Birmingham, AL • On-site

Full-time

Medical, Retirement

Posted 16 days ago

Southern Company rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description


WORK LOCATION
This position will be located at the Energy Center in Birmingham, AL. Candidates living outside of the Birmingham area may be considered with the expectation that they are able to successfully telework and are willing to travel to Birmingham four days per week.
JOB SUMMARY
Structuring and Analysis supports Commercial Operations and operating companies by providing solutions to complex, and often weather-driven business challenges through advanced analytics and data science.
This position is responsible for collecting, organizing, mining, and analyzing complex datasets-including meteorological, atmospheric, and environmental data-to generate actionable insights that enable informed decision-making and operational effectiveness. Specifically, this role leads and coordinates meteorology-focused data science initiatives supporting Commercial Operations through weather- and climate-informed risk analysis, predictive modeling, and decision-support tool development.
The position requires a strong working knowledge of applied meteorology, atmospheric science, mathematical and statistical methods, and modern data science practices. Success in this role also depends on the ability to manage multiple analytic initiatives, translate technical results into clear business insights, and partner effectively with stakeholders across Commercial Operations, Planning, and operating companies.
JOB RESPONSIBILITIES
  • Lead and coordinate the development of meteorological and weather-driven analytics initiatives, including internal tools, modeling approaches, and decision-support methodologies.
  • Partner with data scientists and meteorologists to design experiments and analyses that test assumptions related to weather, climate variability, and operational risk.
  • Oversee development and application of predictive and prescriptive models incorporating numerical weather prediction outputs, historical weather data, and climate signals to support commercial and operational decisions.
  • Translate complex meteorological and analytic outputs into clear, actionable insights for non-technical stakeholders.
  • Collaborate with end users to identify business needs, gaps, and opportunities for improved weather- and climate-informed analytics solutions.
  • Provide leadership by coordinating cross-functional teams, mentoring analysts, and promoting best practices in data science and applied meteorology.
  • Stay current on emerging trends in meteorological modeling, climate risk analytics, machine learning, and data science technologies relevant to the electric utility industry.
  • Ensure analytics solutions are well-documented, maintainable, and aligned with business objectives and delivery timelines.

All major job responsibilities require strong quantitative, statistical, and analytical skills, combined with effective communication and project leadership capabilities.
JOB QUALIFICATIONS
Education:
  • A degree in atmospheric science, meteorology, or a closely related meteorological analytical field is required.
  • Additional degrees in quantitative finance, economics, mathematics, statistics, computer science, engineering, or similar analytical disciplines are a plus.
  • An advanced degree in any of these fields is preferred.

Experience / Skills:
  • Advanced statistical analysis skills, including multivariable analysis, optimization, and predictive modeling.
  • Strong working knowledge of applied meteorology and experience evaluating and using numerical weather prediction models (e.g., GFS, NAM, HRRR, ECMWF).
  • Strong programming and technical competency in large-scale data analysis using Python, R, and SQL; experience with cloud-based analytics platforms such as Databricks is preferred.
  • Experience designing, developing, testing, and documenting complex systems, including predictive models, machine learning algorithms, and decision-support tools.
  • Demonstrated ability to work with large datasets and databases; familiarity with big data and data management technologies is a plus.
  • Ability to solve ambiguous or open-ended problems by creating structure and delivering actionable insights.
  • Strong consulting and project leadership skills with the ability to influence and collaborate across functions.
  • Ability to build productive relationships and work in a fast-paced, competitive environment while handling multiple assignments and conflicting priorities
  • Ability to manage multiple priorities in a fast-paced environment with consistent, on-time delivery.
  • Continuous learner with an interest in emerging analytics, AI-assisted workflows, and evolving applied meteorology practices.
  • Experience in the electric utility industry, particularly weather-driven impacts to power generation or commercial optimization, is a plus.

TRAVEL REQUIREMENTS
This position requires very little travel.
About Us
About Southern Company
Southern Company (NYSE: SO) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com.
Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf. Additional and specific details about total compensation and benefits will also be provided during the hiring process.
Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.
About the Team
Southern Company Services

What Southern Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply