Information Systems IT Cyber Engineer Data Science
@ Honeywell

Hybrid
$100,000
Hybrid
Full Time
Posted 15 hours ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXX****** @honeywell.com
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Job Details

About the Role

At Honeywell, the Information Systems IT Cyber Engineer Data Science role offers recent graduates the opportunity to work on innovative projects that shape the future of technology. You will develop your skills in information systems, IT, cyber engineering, and data science while supporting critical projects.

Responsibilities

  • Assist in designing and implementing IT solutions.
  • Support cyber engineering initiatives to boost security protocols.
  • Engage in data science projects to analyze complex data sets.

Qualifications

Candidates must be pursuing or have obtained a degree in Computer Science, Computer Engineering, Information Technology, Data Science, Cyber Security, MIS or a related field, and be available for full-time work beginning between September 2025 and July 2026.

What We Value

Honeywell values passion for emerging technologies, strong business acumen, excellent communication, problem-solving skills, and the ability to work in multi-functional teams.

Benefits

Employees enjoy a competitive salary, comprehensive benefits including medical, dental, vision, insurance plans, 401(k) match, paid time off, holidays, and more.

Key skills/competency

  • Information Systems
  • IT Solutions
  • Cyber Engineering
  • Data Science
  • Security Protocols
  • Project Support
  • Technical Design
  • Data Analysis
  • Communication
  • Team Collaboration

How to Get Hired at Honeywell

🎯 Tips for Getting Hired

  • Customize your resume: Highlight tech projects and relevant coursework.
  • Research Honeywell: Understand their innovation and technology focus.
  • Prepare for interviews: Practice technical and behavioral questions.
  • Network online: Connect with current Honeywell employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review IT systems concepts thoroughly.
Practice cybersecurity fundamentals and protocols.
Work on data analysis projects.
Familiarize with relevant programming languages.

Behavioral Questions

Discuss team project successes.
Explain handling technical challenges.
Describe time management strategies.
Share collaboration experiences.

Frequently Asked Questions