Equipment Tech Lab Engineer - Data & IoT Analytics (Hybrid)

Munich RE; Hartford (CT); Hybrid; USD 110,000 - 150,000; Full time

Job summary

The Hartford Steam Boiler, a subsidiary of Munich Re, is seeking an Engineer - Equipment Technology Lab in Hartford, CT. This hybrid role requires 3 days in-office and 2 days remote per week, focusing on transferring and analyzing data across platforms and driving actionable improvements.

The role demands a BS in Engineering or Computer Science, with 5+ years in engineering or technology, and programming experience (Python, R, C/C++, SQL, Linux). Knowledge of IoT and insurance industry a plus.

Qualifications

• Bachelor of Science in Engineering or Computer Science is required.
• Master's degree in Engineering or related discipline is a plus.
• 5+ years of experience working in Engineering or Technology.
• Experience with one or more programming languages including but not limited to: Python, R, C/C++, SQL, Linux.
• Experience with integration of IoT technologies a plus.
• Experience or knowledge of the insurance industry a plus.

Responsibilities

• Transfer and analyze data from various platforms and software environments.
• Create actionable changes and improvements to the business.
• Provide subject matter expertise on data processing, analysis and storage best practices.
• Participate in providing innovative project and business efficiency solutions.
• Research and identify emerging equipment technology trends.
• Communicate written and verbal data and technology outcomes effectively.

Skills

Python

R

C/C++

SQL

Linux

Problem solving

Communication

Time management

Education

Bachelor of Science in Engineering or Computer Science

Master's degree in Engineering or related discipline

Tools

IoT technologies

Job description

The Hartford Steam Boiler, a subsidiary of Munich Re, is seeking an Engineer - Equipment Technology Lab in Hartford, CT. This hybrid role requires 3 days in-office and 2 days remote per week, focusing on transferring and analyzing data across platforms and driving actionable improvements.

The role demands a BS in Engineering or Computer Science, with 5+ years in engineering or technology, and programming experience (Python, R, C/C++, SQL, Linux). Knowledge of IoT and insurance industry a plus.