1

Insurance Data Engineer Jobs in Louisiana (NOW HIRING)

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Analytics The Data Engineer will support the design, development, and implementation of analytical ... Experience working with P&C insurance data preferred * Familiarity with actuarial data and concepts ...

Software Developer/ Data Engineer

Hammond, LA · On-site

$88K - $105K/yr

... Data Engineer Department Data & Technology Reports to Data & Technology Leader Type Full-time ... Dental and Vision Insurance * Employee Rental Discount * Professional Development Opportunities ...

Software Developer/ Data Engineer

Hammond, LA · On-site

$88K - $105K/yr

... Data Engineer Department Data & Technology Reports to Data & Technology Leader Type Full-time ... Dental and Vision Insurance * Employee Rental Discount * Professional Development Opportunities

Software Developer/ Data Engineer

Hammond, LA · On-site

$88K - $105K/yr

... Data Engineer Department Data & Technology Reports to Data & Technology Leader Type Full-time ... Dental and Vision Insurance * Employee Rental Discount * Professional Development Opportunities

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

Write programming scripts to enhance functionality and/or performance of university applications as ... insurance; flexible spending accounts; retirement options; various leave options; paid holidays ...

Lead AI Engineer - AWS Platform

Iowa, LA · On-site +1

$130K - $190K/yr

... data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms ... It is an engineering role focused on building, deploying, and operating AI systems in a regulated ...

Cloud Engineer

New Orleans, LA · On-site

$51.50 - $68.75/hr

Overview At Universal Data our number one goal is to Create Raving Fans. The Cloud Engineer plays ... Health Insurance Plans as well as other health benefits * Incentives for reaching team and company ...

Cloud Engineer

New Orleans, LA · On-site

$51.50 - $68.75/hr

Overview At Universal Data our number one goal is to Create Raving Fans. The Cloud Engineer plays ... Health Insurance Plans as well as other health benefits * Incentives for reaching team and company ...

Ensure data quality and integrity through validation logic, stored procedures, and workflow driven ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

next page

Showing results 1-20

Insurance Data Engineer information

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Louisiana? For Insurance Data Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Louisiana look for? The top searched job categories for Insurance Data Engineer jobs in Louisiana are:
What cities in Louisiana are hiring for Insurance Data Engineer jobs? Cities in Louisiana with the most Insurance Data Engineer job openings:

Actuarial Data Engineer

The Mutual Group

Iowa, LA • On-site, Remote

$91K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Department:

Analytics

Job Description:

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.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Actuarial Tool & Data Development:

  • Develop and maintain analytical pipelines and tools that support actuarial analysis

  • Build and enhance data models tat provide consistent, structured access to actuarial data

  • Support the development of applications and tools used in pricing, reserving, and claims analytics

Automation of Actuarial Processes: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

Qualifications:

  • 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

Pay Range:

Anticipated Hiring Range:

  • $91,200 - $130,000annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • 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

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

#TMG