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Insurance Risk Engineer information

See New Jersey salary details

$39.6K

$103.3K

$139.6K

How much do insurance risk engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for insurance risk engineer in New Jersey is $103,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $118,300.00 per year, depending on experience, location, and employer.

What does an Insurance Risk Engineer do?

An Insurance Risk Engineer assesses potential risks associated with a business or property to help insurers make informed underwriting decisions. They analyze safety protocols, operational procedures, and structural conditions to identify hazards and recommend risk mitigation strategies. Their goal is to minimize potential losses for both the insurer and the policyholder by implementing effective preventive measures. Risk engineers often conduct site inspections, review compliance with industry regulations, and provide detailed reports to underwriters. This role requires a strong understanding of engineering principles, risk assessment methodologies, and industry-specific safety standards.

What are the typical daily responsibilities of an Insurance Risk Engineer?

Insurance Risk Engineers commonly spend their days conducting on-site risk assessments of commercial and industrial properties, analyzing data to identify potential hazards, and preparing detailed risk evaluation reports for underwriters and clients. They often meet with property managers, safety officers, and other stakeholders to discuss best practices and recommend loss prevention measures. The role may involve occasional travel to client locations and close collaboration with underwriting and claims teams. This dynamic work environment enables continuous learning and opportunities to make tangible impacts on risk management outcomes.

What are the key skills and qualifications needed to thrive in the Insurance Risk Engineer position, and why are they important?

To thrive as an Insurance Risk Engineer, you need a solid background in engineering or a related technical field, strong analytical abilities, and in-depth knowledge of risk assessment methodologies. Familiarity with risk modeling software, industry safety codes, and certifications such as CFPS (Certified Fire Protection Specialist) or ARM (Associate in Risk Management) is highly valued. Exceptional communication, problem-solving skills, and attention to detail are key soft skills for effectively interacting with clients and translating complex technical findings. These competencies ensure accurate risk evaluations, support underwriters, and help mitigate losses, ultimately protecting both insurers and their clients.

What are popular job titles related to Insurance Risk Engineer jobs in New Jersey? For Insurance Risk Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Insurance Risk Engineer jobs in New Jersey look for? The top searched job categories for Insurance Risk Engineer jobs in New Jersey are:
Insurance Risk Engineer jobs near you
Senior Java Engineer - Assistant Vice President-

Senior Java Engineer - Assistant Vice President-

Citigroup, Inc.

Rutherford, NJ • On-site

$181/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Job Summary
We are seeking a highly motivated and experienced Principal Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms.
Responsibilities
  • Design, develop, and maintain scalable, enterprise-grade ELT/ETL processes to handle large data volumes using the Spark and Databricks ecosystem.
  • Implement and optimize data pipelines for ingestion, cleansing, transformation, and loading into data warehouses, data lakes, and other data stores.
  • Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency.
  • Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability.
  • Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency.
  • Ensure data quality, integrity, and security throughout the entire data lifecycle.
  • Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency.

Qualifications
Required:
  • 8+ years of overall experience in large-scale application development.
  • Minimum of 5+ years of proven experience in a Data Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the Spark and Databricks ecosystem.
  • Hands-on experience with agentic AI development, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering.
  • Proven experience developing and automating microservice integrations to support data-intensive applications.
  • Proficiency in at least one programming language commonly used for data engineering, such as Python, Java, or Scala.
  • Strong SQL skills and experience with various relational databases.
  • Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.
  • Excellent communication, collaboration, and problem-solving skills.

Preferred:
  • Experience with cloud-based Big Data platforms (e.g., Cloudera, Databricks, AWS, Azure, GCP).
  • Experience with frontend technologies such as Angular or React JS for building data-driven application interfaces.
  • Practical experience applying AI/ML techniques to solve real-world business problems.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
  • Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management).
  • Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).

Education
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Master's degree is a plus.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Rutherford New Jersey United States
Primary Location Full Time Salary Range:
$121 200,00 - $181 800,00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
may 28, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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