We build operational software and data platforms for weather modification.
You are:
- A computer science student.
- Excited by real-world data and motivated to turn it into useful software.
- Fast, thoughtful, inquisitive, autonomous, and flexible.
- Willing to relocate to El Segundo, California.
What you’ll work on:
- Build and improve data workflows for in-situ, remote, and drone telemetry data.
- Support our APIs, packages and operational tools.
- Transform raw data into reliable internal products.
What we’re looking for:
- Strong Python fundamentals.
- Comfort working with data, APIs, and SQL.
- Interest in geospatial, atmospheric, or sensor data.
- Good debugging skills and willingness to work across systems.
Rainmaker is an Equal Opportunity Employer; employment with Rainmaker is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Rainmaker participates in E-Verify. To learn more, including your rights and responsibilities, please visit E-Verify.gov.
Skills Required
- Currently pursuing a computer science degree
- Strong Python fundamentals
- Comfort working with data, APIs, and SQL
- Interest in geospatial, atmospheric, or sensor data
- Good debugging skills
- Willingness to work across systems
- Willingness to relocate to El Segundo, California
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What We Do
Rainmaker Technology Corporation develops next-generation cloud-seeding systems to address water scarcity and weather-related challenges. Its integrated solution combines advanced radar, unmanned aircraft, numerical weather modeling, a weather-awareness platform, and sustainable cloud seeds to enhance precipitation. The company aims to make freshwater more available to farms, ecosystems, and communities while supporting ecosystem restoration, aquifer recharge, and reduced wildfire risk over time.
