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Software Engineering Internship at make-rain | El Segundo, CA

make-rainEl Segundo, CA
On-site Internship

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Experience Level

Entry Level

Qualifications

Qualifications:- Currently enrolled in a Bachelor’s degree program in Computer Science or a related field.- Strong fundamentals in Python programming.- Familiarity with data handling, APIs, and SQL.- Interest in geospatial and atmospheric data.- Excellent debugging skills.

About the job

make-rain builds operational software and data platforms to advance weather modification. The team works on tools that process complex, real-world data to support new approaches in this specialized field.

Internship overview

This Software Engineering Internship is located in El Segundo, CA. The position is intended for students who want to apply technical skills to real data problems and help deliver software that matters.

What you will do

  • Collaborate with engineers to design and refine data workflows for telemetry sources, such as in-situ sensors, remote systems, and drones.
  • Assist in developing and maintaining APIs, software packages, and internal operational tools.
  • Convert raw data into reliable products that support the company's mission.

Requirements

  • Enrollment in a Computer Science or related degree program.
  • Interest in working with real-world data and building impactful software.
  • Ability to learn quickly, stay curious, and work independently in changing situations.
  • Willingness to relocate to El Segundo, California for the internship.

Preferred skills

  • Proficiency in Python and understanding of core software development concepts.
  • Experience with data management, APIs, and SQL databases.
  • Interest in geospatial, atmospheric, or sensor data.
  • Strong debugging skills and ease with various technical systems.

About make-rain

make-rain is at the forefront of technology dedicated to creating operational software solutions and data platforms for the advancement of weather modification techniques. We focus on innovative approaches to address real-world challenges through data-driven software.

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