Actuarial Data Engineer: Scalable Pipelines for Pricing

Jobtailor; Iowa (LA); On-site; USD 100,000 - 140,000; Full time

Job summary

Jobtailor is seeking a Data Engineer to design, develop, and implement analytical data processes that support actuarial pricing, reserving, and claims analytics within a Property & Casualty insurance context.

You will build scalable data pipelines and models, partner with actuarial and finance teams, and ensure data quality and lineage across modern data warehousing and ETL environments.

Qualifications

• 3 to 6 years of data engineering experience; cloud-based data environment preferred.
• Strong proficiency in SQL, Python, or R.
• Experience building automation tools or analytical frameworks.
• Experience with modern data warehousing and ETL tools.
• Strong problem-solving skills and attention to data accuracy.

Responsibilities

• Design, develop, and implement analytical data processes for pricing, reserving, and claims analytics.
• Build and maintain scalable data pipelines, models, and tools per architecture.
• Collaborate with actuarial, data science, and finance teams to deliver structured data solutions.
• Develop and maintain analytical pipelines supporting actuarial analysis.
• Create data models providing consistent access to actuarial data.
• Support applications and tools used in pricing and analytics.
• Promote end-to-end data process best practices.
• Improve data workflows by identifying inefficiencies.
• Apply data validation, reconciliation, and quality controls.
• Maintain data lineage and documentation for transparency.
• Support experimentation with emerging AI capabilities in process flow.

Skills

SQL

Python

R

Data engineering

ETL

Tools

Data warehousing tools

Automation tools

Job description

Jobtailor is seeking a Data Engineer to design, develop, and implement analytical data processes that support actuarial pricing, reserving, and claims analytics within a Property & Casualty insurance context.

You will build scalable data pipelines and models, partner with actuarial and finance teams, and ensure data quality and lineage across modern data warehousing and ETL environments.