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Meteorology Python Jobs in Texas (NOW HIRING)

Advanced degree in Mathematics, Statistics, Computer Science, Meteorology or related Catastrophe ... Python. * Experience with cat modeling software (i.e. Verisk, Moodys, Cotality) and an ...

New

... Python. * Experience with cat modeling software (i.e. Verisk, Moodys, Cotality) and an ... Advanced degree in Mathematics, Statistics, Computer Science, Meteorology or related Catastrophe ...

Meteorology Python information

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.

What are popular job titles related to Meteorology Python jobs in Texas? For Meteorology Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Meteorology Python jobs in Texas look for? The top searched job categories for Meteorology Python jobs in Texas are:
Infographic showing various Meteorology Python job openings in Texas as of May 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 7% Physical, 17% Hybrid, and 76% Remote job distribution.
Performance Monitoring Associate (Hybrid work schedule)

Performance Monitoring Associate (Hybrid work schedule)

Edp Renewables North America

Houston, TX • Hybrid

Full-time

Posted 11 days ago


EDP Renewables rating

5.7

Company rating: 5.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

The Performance Monitoring Associate develops and monitors performance indicators to detect and resolve issues related to the operation of wind and solar assets. Performs root cause analysis of deficiencies and proposes solutions in coordination with engineering teams. Manages the resolution of detected issues and communicates statuses with Asset Operations and Performance Management departments. Coordinates with global team members in North America and Europe.

Main accountabilities:

  • Develop new indicators and methods for detection, implement processes to improve accuracy of detections
  • Perform root cause analysis (RCA) of detections in collaboration with Engineering and Operations teams
  • Develop reporting capabilities and create interactive business intelligence (BI) reports to support monitoring efforts
  • Manage detected items to track resolution and added value
  • Ensure quality control of performance datasets by confirming accuracy against original sources, checking for errors manually and automatically, and updating datasets regularly
  • Maintain relationship with Asset Managers and managers of operating sites, enabling successful plant operations by providing timely detections and escalating issues and opportunities identified
  • Work as part of a global team, supporting and leading initiatives that enhance the group’s capabilities and performance
  • Write ad-hoc queries in SQL, PI and Azure databases to capture data for analysis
  • Work with technical staff to identify turbine modifications that can increase performance and quantifies potential financial benefits
  • Additional duties as required

Direct reports:  None

Travel:  Up to 10%

 Minimum qualifications:

  • Bachelor’s degree in engineering or a related field; Master’s degree preferred
  • 3+ years work experience, preferably in renewable energy or related field
  • Proficient knowledge of Microsoft Office Software
  • Experience with SQL, Python, or R preferred
  • Experience with big data analytics and cloud computing is highly desirable (Power BI, Tableau, Azure)
  • Experience with technical analysis and RCA is highly desirable
  • Competency in Analytical Problem Solving, Strong Communication, Customer/Partner Relationships, and Technology Expertise preferred

Behavioral requirements:

  • Ability to comprehend and apply a variety of subjects relating to wind and solar energy, including meteorology, aerodynamics, and electrical and mechanical systems
  • Ability to perform duties in a collaborative working environment
  • Experience with network-based enterprise-reporting
  • Proven ability to quickly learn new software programs
  • A technical understanding of the renewable energy industry
  • Strong statistical and analytical skills
  • Excellent problem-solving ability
  • Oral and written communication and presentation skills
  • Ability to be self-motivated

Physical demands & working conditions:

  • Sitting/Standing/Flexibility: Ability to stand and sit for 8 or more hours when in an office environment
  • Speech/Reading:  Ability to speak, read, and write English proficiently and deliver a variety of instructions furnished in written, verbal, diagram, or schedule form
  • Lifting: Ability to lift items weighing up to 10 pounds
  • Vision/Hearing: Ability to understand a variety of instructions furnished in written, verbal, diagram, or schedule form
  • Safety: Ability to understand and communicate safety precautions when necessary