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Insurance Data Engineer Jobs in Louisiana (NOW HIRING)

Jobtailor

Associate Data Engineer

Iowa, LA · On-site

$101K - $121K/yr

Interest in insurance, actuarial analytics, business intelligence, or advanced analytics preferred ... Data Engineering * Analytical Datasets * Automation Technologies * Machine Learning Concepts

The Mutual Group

Associate Data Engineer

Iowa, LA · On-site +1

$65K - $95K/yr

The Associate Data Engineer will work closely with actuaries, analysts, underwriting, claims, and ... Interest in insurance, actuarial analytics, business intelligence, or advanced analytics.

The Mutual Group

Sr. AI Engineer

Iowa, LA · On-site +1

$130K - $170K/yr

... data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms ... We are hiring a Sr AI Engineer to build and scale production-grade AI solutions on AWS. This role ...

The Mutual Group

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 ...

CSAA

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ...

Universal Data Inc

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 ...

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Insurance Data Engineer information

What is an insurance data engineer?

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.

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.

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.

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:

Insurance Data Engineer jobs near you

Associate Data Engineer

Iowa, LA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$101K - $121K/yr

Other

Posted 6 days ago

Job description


  • Develop and maintain data pipelines, data integrations, and analytical datasets supporting actuarial, underwriting, claims, and business analytics.

  • Partner with actuaries, analysts, and business stakeholders to understand data requirements and deliver reliable data solutions.

  • Support Tableau, Power BI, and other reporting and analytics platforms by preparing and validating data assets and creating dashboards for management.

  • Assist with data quality monitoring, validation, reconciliation, and documentation.

  • Participate in developing data products that enable self-service analytics and reporting.

  • Work with technology teams to support cloud-based data platforms and integration processes.

  • Contribute to automation and process improvement initiatives that increase efficiency and data reliability.

  • Follow data engineering standards, development practices, and governance requirements.

  • Continuously learn and apply new data engineering and analytics technologies, tools, and techniques.


Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, Statistics, Actuarial Science, or a related field

  • 0 to 3 years of professional experience in data engineering, analytics, software development, data integration, or a related technical field

  • Foundational knowledge of SQL and relational database concepts

  • Exposure to Python or another programming language through coursework, internships, personal projects, or professional experience

  • Strong analytical, critical thinking, and problem-solving skills

  • Excellent written and verbal communication skills

  • Demonstrated ability to learn new technologies and work collaboratively in a team environment

  • Internship, co-op, research, or project experience involving data engineering, data analytics, reporting, or software development preferred

  • Familiarity with Tableau, Power BI, or similar reporting and visualization tools preferred

  • Exposure to cloud technologies such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS, or similar platforms preferred

  • Experience working with large datasets and data transformation processes preferred

  • Interest in insurance, actuarial analytics, business intelligence, or advanced analytics preferred

  • Exposure to AI-assisted development tools, automation technologies, or machine learning concepts preferred


Core Competencies

Proficient in developing and maintaining data pipelines and integrations, with a strong foundation in SQL and data analytics tools such as Tableau and Power BI. Capable of collaborating with cross-functional teams to deliver reliable data solutions and support cloud-based data platforms.


Highest-signal resume keywords

  • Data Pipeline Development

  • SQL Proficiency

  • Tableau Reporting

  • Cloud Technologies Exposure

  • Data Quality Monitoring


Hard Skills

  • SQL

  • Python

  • Data Integration

  • Data Analytics

  • Data Transformation

  • Data Engineering

  • Analytical Datasets

  • Automation Technologies

  • Machine Learning Concepts

  • Statistical Analysis


Soft Skills

  • Analytical Skills

  • Critical Thinking

  • Problem-Solving

  • Communication Skills

  • Team Collaboration


Industry Keywords

  • Actuarial Analytics

  • Business Intelligence

  • Insurance

  • Data Governance

  • Self-Service Analytics


Tools & Technologies

  • Tableau

  • Power BI

  • Snowflake

  • Databricks

  • Microsoft Fabric

  • Azure

  • AWS

  • Data Visualization Tools

  • AI-Assisted Development Tools

  • Reporting Platforms

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