Summer Data Engineering & Research Associate - Space Analytics Project (Stealth)

We’re seeking a motivated undergraduate or graduate student for a flexible summer role supporting an early-stage stealth project focused on space travel, human networks, and large-scale data analysis.

This is a unique opportunity to work directly with a founder on an unconventional research and analytics initiative at the intersection of:

• data engineering
• research infrastructure
• AI-assisted knowledge systems
• network analysis
• public records
• and human space travel

The role involves helping build structured datasets and analytical tooling within the space ecosystem.

This is an ideal opportunity for someone who enjoys:

• turning messy information into usable systems,
• writing scripts and automations,
• uncovering patterns in complex historical/technical data,
• visualizing information for an audience
• and working on intellectually ambitious problems.

Do you have experience in Research?, * Computer Science

• Data Science
• Aerospace Engineering
• Physics
• Information Science
• or related analytical/quantitative fields, * Experience with Python, R, or similar scripting languages
• Strong attention to detail
• Excellent research instincts
• Comfort with independent work
• Familiarity with spreadsheets and structured data

Strong pluses:

• SQL/database experience
• Web scraping or API experience
• Data visualization, UX/UI
• Graph/network analysis
• Familiarity with AI tooling/workflows
• Interest in aerospace, science, or complex systems

Pulled from the full job description

• Flexible schedule