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Remote Weather Analyst Jobs in California (NOW HIRING)

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Remote Weather Analyst information

What is the difference between Remote Weather Analyst vs Remote Meteorologist?

AspectRemote Weather AnalystRemote Meteorologist
Required CredentialsBachelor's in Meteorology, Atmospheric Science, or related field; often certifications like AMS or NWABachelor's or higher in Meteorology; certifications like AMS or NWA are common
Work EnvironmentData analysis, report writing, forecasting support remotelyForecasting, weather modeling, and analysis often remotely or in offices
Employer & Industry UsageMedia, government agencies, private companiesBroadcast media, government weather services, research institutions
Common Search & ComparisonYesYes

Remote Weather Analysts and Remote Meteorologists share similar educational backgrounds and certifications, often working remotely in weather-related industries. While Meteorologists may focus more on forecasting and weather modeling, Weather Analysts typically concentrate on data analysis and reporting. Both roles are vital in weather services, but Meteorologists often have more direct forecasting responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Weather Analyst, and why are they important?

To thrive as a Remote Weather Analyst, you need a strong background in meteorology or atmospheric science, supported by a relevant degree and experience in data analysis. Familiarity with meteorological software, remote sensing tools, and geographic information systems (GIS) is typically required, along with proficiency in programming languages like Python or R. Strong communication, attention to detail, and problem-solving skills help analysts interpret data and convey complex findings to diverse audiences. These skills ensure accurate weather forecasting and effective communication of critical information for decision-making across various industries.

How does a Remote Weather Analyst typically collaborate with other team members across different locations?

As a Remote Weather Analyst, collaboration is often conducted through digital platforms such as video conferencing, instant messaging, and shared data tools. You’ll regularly coordinate with meteorologists, data scientists, and operations teams to interpret and communicate weather data effectively. Clear, timely communication is essential, as your analyses often inform critical business or safety decisions. Embracing collaborative software and maintaining proactive updates help ensure that everyone stays aligned, regardless of physical location.

What is a Remote Weather Analyst?

A Remote Weather Analyst is a professional who analyzes meteorological data and weather patterns from a remote location, often using digital tools and software. They interpret data from satellites, weather stations, and computer models to provide forecasts, risk assessments, and climate analysis for various industries such as agriculture, aviation, or emergency management. Working remotely allows them to collaborate with teams and clients worldwide, delivering timely weather insights without being tied to a specific physical office. This role typically requires strong analytical skills, proficiency with meteorological software, and a background in atmospheric sciences.
What are popular job titles related to Remote Weather Analyst jobs in California? For Remote Weather Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Weather Analyst jobs in California look for? The top searched job categories for Remote Weather Analyst jobs in California are:
What cities in California are hiring for Remote Weather Analyst jobs? Cities in California with the most Remote Weather Analyst job openings:
Remote Weather Analyst jobs near you
Infographic showing various Remote Weather Analyst job openings in California as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Satellite Applications Specialist

Rainmaker Technology Corporation

El Segundo, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

About Rainmaker

Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs.

Research at Rainmaker is attached directly to operations. Our scientists and engineers collect proprietary observations, deliberately intervene in atmospheric systems, evaluate the results, and use what they learn to improve the next operation.

About the Role

Rainmaker is hiring a Satellite Remote Sensing Researcher to expand how we use satellite observations across research and operations. You will join experienced satellite scientists and add both scientific capacity and stronger computational execution to the team.

Your work may include developing and validating retrievals, building automated data products, supporting operational cloud analysis, fusing satellite observations with radar and aircraft data, and pursuing applied research under the guidance of Rainmaker's existing researchers. Our highest-priority observations include microwave sounders and other polar-orbiting instruments, while geostationary imagery provides the coverage and temporal continuity needed for operations.

We are open to an earlier-career scientist with excellent fundamentals, high agency, and evidence of strong computational work. You should be excited to learn from experienced researchers while independently owning bounded projects and turning scientific methods into durable workflows.

What You'll Do
  • Develop, reproduce, improve, and validate satellite retrieval algorithms relevant to clouds, precipitation, atmospheric state, and cloud-seeding opportunities.
  • Work extensively with microwave sounders and other polar-orbiting observations while incorporating geostationary imagery for coverage, temporal context, and operational monitoring.
  • Build automated, documented workflows that transform raw or low-level observations into useful scientific and operational products.
  • Evaluate existing SLW, cloud-phase, cloud-top, moisture, temperature, precipitation, and related products against independent observations.
  • Collocate satellite data with radar, NWP, soundings, surface observations, and Rainmaker aircraft, UAS, or in-situ measurements.
  • Quantify retrieval bias, uncertainty, spatial representativeness, latency, coverage, and failure modes by meteorological regime.
  • Support real-time and retrospective cloud analysis for cloud-seeding operations.
  • Improve the reliability, speed, scalability, and usability of satellite-data processing across the science team.
  • Contribute to research directions selected with Rainmaker's existing satellite scientists.
  • Work with ML engineers when data-driven retrievals or multimodal models are justified by the data.
  • Work with software engineers to transition successful research workflows into reliable operational systems.
  • Communicate scientific results, limitations, and uncertainty clearly to researchers, operators, and engineers.
What We're Looking For
  • A degree in atmospheric science, meteorology, remote sensing, physics, applied mathematics, electrical engineering, computer science, or a related field, or equivalent evidence of exceptional remote-sensing ability.
  • Strong scientific understanding of satellite observations, radiative transfer, retrievals, calibration, validation, or measurement uncertainty.
  • Strong Python and quantitative-analysis skills.
  • Experience working computationally with satellite data, preferably including microwave or polar-orbiting observations.
  • Ability to implement, evaluate, and document scientific methods personally rather than immediately handing them off to a software team.
  • Experience with multidimensional scientific data and tools such as NumPy, SciPy, pandas, xarray, Dask, or equivalent systems.
  • Ability to build reproducible data-processing and validation workflows.
  • Comfort receiving research guidance while independently owning a clearly defined project.
  • High agency, learning velocity, and willingness to engage with operational users of the resulting products.
Preferred Qualifications
  • Graduate research or industry experience in satellite meteorology, microwave remote sensing, cloud or precipitation retrievals, atmospheric sounding, or Earth observation.
  • Experience working with both polar-orbiting and geostationary observations.
  • Familiarity with radiative-transfer models, retrieval inversion, Bayesian estimation, uncertainty quantification, or statistical and ML retrieval methods.
  • Experience collocating satellite data with radar, aircraft, in-situ sensors, soundings, or NWP.
  • Familiarity with cloud microphysics, mixed-phase clouds, supercooled liquid water, precipitation processes, or weather modification.
  • Experience with cloud-scale or large-volume geospatial processing in local, HPC, or cloud environments.
  • Experience creating data products used in operational forecasting or decision-making.
What Success Looks Like

Within your first three months, you will have taken ownership of one bounded retrieval or satellite-data workflow selected with the existing team. You will have reproduced and validated the current baseline, then delivered a meaningful improvement in retrieval quality, automation, coverage, latency, scalability, or operational usability.

The result will be a documented and repeatable workflow that Rainmaker's broader science or operations team can use. Success does not require inventing a novel retrieval in one quarter; it requires producing trustworthy computational leverage and demonstrating clear scientific judgment.

Within your first year, you will have expanded the team's capacity across microwave, polar-orbiting, and geostationary observations while making multiple satellite workflows more validated, automated, and operationally useful.

Benefits
  • Significant stock options with high potential upside as an early-stage company
  • 401(k) with employer matching
  • Full health coverage (medical, dental, and vision insurance)
  • Relocation assistance provided (if applicable)
  • Unlimited PTO
  • Paid parental leave for both parents
  • Lunch provided when working in-office and a fully stocked kitchenette
  • Free EV charging at the HQ
$90,000 - $150,000 a year
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