<div><span style="font-size:16px;">Rainmaker is pioneering a modern cloud seeding system to solve water scarcity and inclement weather problems. We develop and incorporate radar validation, weather-resistant UAS, numerical weather modeling, and sustainable cloud seeds into an effective precipitation enhancement solution.</span></div><div><br></div><div><span style="font-size:16px;">The Satellite Applications Specialist is responsible for the acquisition, processing, and analysis of satellite cloud and precipitation data for cloud seeding validation. This role requires a deep understanding of satellite remote sensing principles, meteorological processes, and data analysis techniques. The specialist will work closely with meteorologists, data scientists, and software engineers to develop and implement advanced data processing algorithms and workflows.</span></div><br><br><h3>What You'll Do</h3><ul><li><b>Data Acquisition:</b> Identify and access publicly available meteorological satellite data from various platforms (e.g., GOES, Meteosat, MODIS, Sentinel, etc.). Develop and maintain data acquisition workflows to retrieve large multi-spectral datasets. Implement data storage and management strategies.</li><li><b>Data Ingestion and Processing:</b> Ingest satellite data into data processing systems. Perform data quality checks. Define and implement correction methodologies. Apply atmospheric correction algorithms to account for the effects of the atmosphere on satellite measurements. Develop and implement advanced algorithms for quantitative precipitation estimation (QPE) and phase classification based on machine learning methods.</li><li><b>Data Analysis:</b> Analyze satellite data to extract meteorological information, such as cloud cover, precipitation intensity, cloud phase, and atmospheric temperature and humidity profiles. Work to analyze real-time and archival case studies. Develop and apply data visualization techniques to represent meteorological phenomena. Contribute to scientific research projects and publish findings in peer-reviewed journals.</li><li><b>Algorithm Development:</b> Develop and test new algorithms for satellite data processing and analysis. Collaborate with data scientists and meteorologists to improve existing algorithms. Stay up-to-date on the latest advancements in satellite remote sensing and data analysis techniques.</li><li><b>Precipitation Enhancement Applications: </b>Support precipitation enhancement operations by providing satellite data analysis to identify suitable cloud targets and assess the effectiveness of seeding efforts. Develop algorithms to estimate the potential for precipitation enhancement from precipitation enhancement.</li></ul><h3>Required Qualifications</h3><ul><li>Master's degree or Ph.D. in meteorology, atmospheric science, remote sensing, or a related field.</li><li>Strong understanding of satellite remote sensing principles and meteorological processes.</li><li>Experience with data acquisition, processing, and analysis of large datasets. This involves distributed computing methods, database management systems, data partitioning, vectorizing operations, and GPU acceleration.</li><li>Experience with Amazon Web Services cloud computing for external data sources, and internal instance management.</li><li>Proficiency in data analysis tools and programming languages (e.g., Python, MATLAB, R, C++).Knowledge of machine learning and deep learning techniques, for satellite applications.</li></ul><br><div>No recruiting agencies</div>

<p>Rainmaker provides water for farms, watersheds, and ecosystems, fortifying growth and stewarding the natural world. We are Making Earth Habitable.</p><p>Rainmaker is pioneering a modern precipitation enhancement system. We develop and incorporate radar validation, weather resistant drones, numerical weather modeling, and sustainable cloud seeds into an effective water resource solution.</p>

Satellite Applications Specialist - Precipitation

<div><span>Rainmaker is pioneering a modern cloud seeding system to solve water scarcity and inclement weather problems. We develop and incorporate radar validation, weather-resistant UAS, numerical weather modeling, and sustainable cloud seeds into an effective precipitation enhancement solution.</span></div><div><br /></div><div><span>The Satellite Applications Specialist is responsible for the acquisition, processing, and analysis of satellite cloud and precipitation data for cloud seeding validation. This role requires a deep understanding of satellite remote sensing principles, meteorological processes, and data analysis techniques. The specialist will work closely with meteorologists, data scientists, and software engineers to develop and implement advanced data processing algorithms and workflows.</span></div><br /><br /><h3>What You'll Do</h3><ul><li><b>Data Acquisition:</b> Identify and access publicly available meteorological satellite data from various platforms (e.g., GOES, Meteosat, MODIS, Sentinel, etc.). Develop and maintain data acquisition workflows to retrieve large multi-spectral datasets. Implement data storage and management strategies.</li><li><b>Data Ingestion and Processing:</b> Ingest satellite data into data processing systems. Perform data quality checks. Define and implement correction methodologies. Apply atmospheric correction algorithms to account for the effects of the atmosphere on satellite measurements. Develop and implement advanced algorithms for quantitative precipitation estimation (QPE) and phase classification based on machine learning methods.</li><li><b>Data Analysis:</b> Analyze satellite data to extract meteorological information, such as cloud cover, precipitation intensity, cloud phase, and atmospheric temperature and humidity profiles. Work to analyze real-time and archival case studies. Develop and apply data visualization techniques to represent meteorological phenomena. Contribute to scientific research projects and publish findings in peer-reviewed journals.</li><li><b>Algorithm Development:</b> Develop and test new algorithms for satellite data processing and analysis. Collaborate with data scientists and meteorologists to improve existing algorithms. Stay up-to-date on the latest advancements in satellite remote sensing and data analysis techniques.</li><li><b>Precipitation Enhancement Applications: </b>Support precipitation enhancement operations by providing satellite data analysis to identify suitable cloud targets and assess the effectiveness of seeding efforts. Develop algorithms to estimate the potential for precipitation enhancement from precipitation enhancement.</li></ul><h3>Required Qualifications</h3><ul><li>Master's degree or Ph.D. in meteorology, atmospheric science, remote sensing, or a related field.</li><li>Strong understanding of satellite remote sensing principles and meteorological processes.</li><li>Experience with data acquisition, processing, and analysis of large datasets. This involves distributed computing methods, database management systems, data partitioning, vectorizing operations, and GPU acceleration.</li><li>Experience with Amazon Web Services cloud computing for external data sources, and internal instance management.</li><li>Proficiency in data analysis tools and programming languages (e.g., Python, MATLAB, R, C++).Knowledge of machine learning and deep learning techniques, for satellite applications.</li></ul><br /><div>No recruiting agencies</div>

Satellite Applications Specialist - Precipitation

About the Job

About the Company

Rainmaker Technology Corporation

Similar Jobs

Research Scientist (Atmospheric Science)

Research Scientist (Atmospheric Science)

R&D Data Science Group Leader M/F

R&D Data Science Group Leader M/F

Earth Observations Manager (m/f/d)

Earth Observations Manager (m/f/d)

Senior Data Engineer

Senior Data Engineer

Postdoctoral Appointee - Convective Storms and Severe Weather

Postdoctoral Appointee - Convective Storms and Severe Weather

Weather Data Scientist: Numerical Weather Prediction

Weather Data Scientist: Numerical Weather Prediction

Weather Data Scientist: Data Assimilation

Weather Data Scientist: Data Assimilation

Meteorologist

Meteorologist

Postdoctoral Appointee - Land-atmospheric interactions and hydrological extremes

Postdoctoral Appointee - Land-atmospheric interactions and hydrological extremes

Meteorologist

Meteorologist