Position:
Finance Intern - OMES III at Intuitive Machines
Location:
Ellicott City, Maryland, United States
Found email addresses for Logan Dunn:
Found phones for Logan Dunn:
Jun 2025 - Current
Dec 2022 - Current
Jun 2025 - Aug 2025
Bachelor's degree at University of Maryland - Robert H. Smith School of Business
Mount Hebron High School
What is Logan Dunn's email address?
SignalHire found verified email addresses for Logan Dunn, both business and personal. Their business email is l****d@intuitivemachines.com, and personal emails include d***@barebonesbroth.com, d***@yahoo.com, and l***@gmail.com.What is Logan Dunn's phone number?
SignalHire found multiple verified phone numbers for Logan Dunn: +1-480-***-**83, +1-909-***-**67, and +1-623-***-**75.How do I contact Logan Dunn at Intuitive Machines?
You can reach Logan Dunn through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Logan Dunn's professional background?
Logan Dunn has 4 years of professional experience. They have held roles including Security Attendant, and Client Associate Intern at companies such as RJ Bentley's, and Baltimore-Washington Financial Advisors. Their education includes Bachelor's degree from University of Maryland - Robert H. Smith School of Business, and Mount Hebron High School.Is Logan Dunn's contact information up to date?
Yes. Logan Dunn's SignalHire profile was last updated on 20 April 2026, reflecting their current position as Finance Intern - OMES III at Intuitive Machines in Houston, Texas, United States.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.