Technology Associate - June 2027

About the role

Chubb's Technology Associate Program (TAP) offers entry‑level positions that place you at the intersection of cutting‑edge technology and real‑world impact, protecting people and businesses globally. Through TAP you will build expertise in one of three in‑demand disciplines — Software Engineering, Data Engineering, or Cybersecurity Engineering — while developing business acumen, leadership skills, and a professional network to accelerate your career from day one. These positions may be located in Philadelphia, PA or Jersey City, NJ. Sponsorship, now or in the future, is not available for this role; applicants must be legally authorized for employment in the U.S. without need for current or future employment‑based sponsorship.

Responsibilities

• Software Engineer: design, develop, test, and maintain software solutions for the company.
• Data Engineer: work with the business to understand data requirements, become a data platform expert, design and build cloud‑based Big Data solutions, collaborate with data science teams, own projects, deliver high‑quality data‑driven advanced analytics applications.
• Cybersecurity Engineer: improve compliance and security posture, troubleshoot complex problems, assist in supporting Chubb’s Global security function, gain hands‑on experience with information security technologies.

Requirements

Candidates should demonstrate the following foundational knowledge and experience, depending on the discipline:

• Software Engineer: understanding of software development principles (data structures, algorithms); coding experience in Java, Python, JavaScript, C# or similar; familiarity with version control (Git); exposure to cloud platforms (AWS, Azure, Google Cloud); experience with agile/scrum; interest in AI/ML or automation.
• Data Engineer: foundational knowledge of databases and SQL; exposure to data engineering concepts (ETL, data modeling, data warehousing); programming ability in Python or Scala; familiarity with cloud data platforms (AWS); interest in data governance, data quality, or AI/ML‑driven analytics.
• Cybersecurity Engineer: foundational knowledge of cybersecurity principles (network security, identity management, encryption, threat modeling); engineering mindset with troubleshooting ability; strong analytical skills; exposure to security frameworks; scripting ability (Python, PowerShell, Bash); familiarity with cloud security, SIEM tools, or vulnerability management platforms; relevant certifications or coursework (CompTIA Security+, CEH, or equivalent).

Skills

• Software development, data engineering,