The future is what you make it.

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn’t just about developing cool things. That’s why our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

ABOUT THE ROLE:

As an Information Systems, IT, Cyber Engineer & Data Science

• Recent Grad/Full Time here at Honeywell, you will embark on an exciting journey to develop your skills and contribute to innovative projects that shape the future of technology. This role offers a unique opportunity to work alongside experienced professionals and gain hands-on experience in various aspects of information systems, IT, cyber engineering, and data science.

  In this role, you will impact the organization by leveraging your knowledge and skills to support critical projects that enhance our technological capabilities and drive business success.

  At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company.

  Location: This position is available in multiple locations across the United States.

  The exact worksite location will be selected based on business requirements and the candidate’s relevant experience and qualifications.

The annual base salary range for this position is $68,000/yr - $126,500/yr. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.

MINIMUM QUALIFICATIONS:  Must be pursuing a bachelor's degree (or higher) from an accredited college or university in Computer Science, Computer Engineering, Information Technology, Data Science, Cyber Security, MIS or similar field  Must have graduated or graduating from an accredited college or university between August 2025 and May 2026 and be available to begin full-time work between September 2025 - July 2026  Must have obtained degree within 12 months of the date of hire   Honeywell is currently unable to consider applicants who would require current or future sponsorship for employment authorization for this position.  Candidates must be authorized to legally work in the United States without current or future sponsorship requirements.  WE VALUE:  Passion for using, developing, evaluating and learning about new technologies  Foundational business acumen and desire to improve your business knowledge  Excellent communication and problem-solving skills  Ability to work with multi-functional teams to meet expectations of internal and external customers  In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell   The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.      #HoneywellURNAM
KEY RESPONSIBILITIES Assist in the design and implementation of information systems and IT solutions. Support cyber engineering initiatives to enhance security protocols and practices. Engage in data science projects to analyze and interpret complex data sets.