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Data Operations Engineer - Job Opportunity at SageSure

Cheshire, United States
Full-time
Entry-level
Posted: February 27, 2025
Hybrid
USD 70,000 - 90,000 annually based on entry-level data engineering positions in the insurance sector and Northeast region

Benefits

Comprehensive health insurance with wellness allowance showing strong focus on employee wellbeing
Competitive 401(k) matching demonstrating investment in long-term financial security
Professional development support through tuition reimbursement indicating commitment to career growth
Paid volunteer time off reflecting strong corporate social responsibility
Remote/hybrid work flexibility across multiple office locations

Key Responsibilities

Design and implement data validation processes to ensure data quality and integrity across critical insurance operations
Manage and maintain Shiny applications supporting key business functions and decision-making processes
Lead algorithm validation efforts for insurance rating and underwriting systems
Coordinate cross-functional data requests between Actuarial and Underwriting teams
Develop automated reporting solutions for internal stakeholders

Requirements

Education

Bachelor's or Masters degree in Computer Science, Data Science, Actuarial Science, Business Analysis, Statistics, Applied Mathematics or a related field

Experience

0-2 years of experience in data engineering, application development, or a similar role

Required Skills

Proficiency in R and Shiny app development SQL and relational databases expertise Data validation and quality assurance techniques Strong analytical skills Excellent communication skills Experience with ticket management workflows
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Sauge AI Market Intelligence

Industry Trends

The catastrophe-exposed property insurance sector is experiencing rapid digital transformation, driving increased demand for data engineering roles that can bridge actuarial science with modern technology stacks. Insurance companies are increasingly adopting R and Shiny for internal tools, reflecting a shift towards more interactive and accessible data analysis platforms. The focus on data quality and validation processes indicates a broader industry trend towards more sophisticated risk assessment and pricing models.

Role Significance

Likely part of a 5-8 person technical team within a larger product development organization, collaborating closely with actuarial and underwriting departments
Entry-level position with significant responsibility in supporting critical business functions through data operations and application development

Key Projects

Development and maintenance of internal data analysis tools and dashboards Implementation of data quality frameworks and validation processes Support for actuarial pricing models and underwriting algorithms Creation of automated reporting systems for business stakeholders

Success Factors

Strong foundation in both technical skills and insurance domain knowledge Ability to bridge communication between technical and business teams Proactive problem-solving approach with attention to detail Understanding of insurance risk assessment and pricing principles

Market Demand

High demand with strong growth potential due to increasing digitalization in insurance and focus on data-driven decision making

Important Skills

Critical Skills

R and Shiny development skills are essential for maintaining and improving internal analysis tools SQL proficiency is crucial for handling complex insurance data structures Data validation expertise is fundamental for ensuring accuracy in risk assessment

Beneficial Skills

Knowledge of cloud platforms, particularly AWS Experience with CI/CD pipelines Familiarity with Groovy and XML for insurance rating systems

Unique Aspects

Rare opportunity to work with both cutting-edge technology and traditional insurance principles
Direct exposure to catastrophe risk modeling and assessment
Combination of startup culture with established insurance industry stability

Career Growth

2-3 years in role before advancement, with potential fast-track opportunities based on performance and business growth

Potential Next Roles

Senior Data Engineer Insurance Analytics Manager Technical Product Manager Data Architecture Specialist

Company Overview

SageSure

SageSure is a leading managing general underwriter (MGU) in the U.S. catastrophe-exposed property insurance market, combining traditional insurance expertise with modern technology approaches

Strong market position as an innovative player in challenging insurance markets, demonstrated by consistent recognition as a Best Places to Work in Insurance
Significant presence across 14 states with multiple strategic office locations, indicating strong national growth trajectory
Dynamic, technology-forward environment with emphasis on innovation and problem-solving, balanced with established insurance industry practices
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