Actuarial Data Engineer

The Mutual Group

The Data Engineer at TMG builds scalable data pipelines for actuarial analytics in P&C insurance. Collaborating with teams to deliver reliable data solutions and enhancing data workflows.

Posted 7/18/2026full-timeIowa • 🇺🇸 United StatesMid-LevelSenior💰 $91,200 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines and models, with strong proficiency in SQL, Python, or R. Familiarity with actuarial data and experience in the Property & Casualty insurance domain are essential for delivering reliable data solutions.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProficiencyETL Tools ExperienceActuarial Data Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingAutomation ToolsAnalytical FrameworksData ValidationReconciliation ChecksQuality ControlCloud-Based Data EnvironmentData Workflow ImprovementData Lineage Maintenance

Soft Skills

Problem-Solving SkillsAttention to Detail

Industry Keywords

Property & Casualty InsuranceActuarial PricingClaims AnalyticsData Science CollaborationAnalytical Workflows

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

The Data Engineer will support the design, development, and implementation of analytical data processes that enable actuarial pricing, reserving, and claims analytics across a Property & Casualty insurance business.
This role focuses on building and maintaining scalable data pipelines, models, and tools under established architectural patterns and standards.
The Data Engineer will partner with actuarial, data science, and finance teams to deliver reliable and well-structured data solutions that support analytical workflows and business insights.
Develop and maintain analytical pipelines and tools that support actuarial analysis.
Build and enhance data models that provide consistent, structured access to actuarial data.
Support the development of applications and tools used in pricing, reserving, and claims analytics.
Support the adoption of best practices for end-to-end analytical data process flow.
Contribute to the continuous improvement of data workflows by identifying inefficiencies and recommending enhancements.
Apply data validation, reconciliation checks, and quality controls within data pipelines.
Assist in maintaining data lineage and documentation to support transparency.
Support experimentation with emerging AI capabilities in process flow design.

Requirements

What you’ll need

3 to 6 years of data engineering experience with cloud-based data environment experience 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 detail & data accuracy
Experience working with P&C insurance data preferred
Familiarity with actuarial data and concepts preferred

Benefits

Comp & perks

Competitive base salary plus incentive plans for eligible team members
401(K) retirement plan that includes a company match of up to 6% of your eligible salary
Free basic life and AD&D, long-term disability and short-term disability insurance
Medical, dental and vision plans to meet your unique healthcare needs
Wellness incentives
Generous time off program that includes personal, holiday and volunteer paid time off
Flexible work schedules and hybrid/remote options for eligible positions
Educational assistance