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Insurance Data Engineer Jobs in Baton Rouge, LA (NOW HIRING)

Actalent

Test Engineer

Baton Rouge, LA

$45 - $55/hr

Monitor instrumentation, hardware configurations, operating conditions, and data acquisition ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Cisco

Software Engineer, Backend

Baton Rouge, LA · On-site

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database ... insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and ...

Bowman

Data Clerk I

Baton Rouge, LA · On-site

$21.70 - $26.58/hr

Previous experience in the engineering/construction or services industry preferred. Any experience ... Medical, dental, vision, life, and disability insurance * 401(k) retirement savings plan with ...

Wood Plc

Water Resources Engineer - FEMA

Baton Rouge, LA · Remote

$75K - $103K/yr

... Flood Insurance Program (NFIP) experience to join our highly collaborative team. The successful ... Support Field Investigations including the collection and analysis of data used to support ...

Royal Vopak

Maintenance Engineer

Plaquemine, LA · On-site

ID Theft Insurance * Universal Life What do we expect from you as a Maintenance Engineer ... The maintenance engineer will review the data with the Maintenance Supervisor and enact combined ...

Royal Vopak

Maintenance Engineer

Plaquemine, LA · On-site

ID Theft Insurance * Universal Life What do we expect from you as a Maintenance Engineer ... The maintenance engineer will review the data with the Maintenance Supervisor and enact combined ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Baton Rouge, LA

Insurance Data Engineer information

See Baton Rouge, LA salary details

$42.7K

$124.6K

$170.4K

How much do insurance data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for insurance data engineer in Baton Rouge, LA is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 per year, depending on experience, location, and employer.

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 Baton Rouge, LA? For Insurance Data Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Baton Rouge, LA look for? The top searched job categories for Insurance Data Engineer jobs in Baton Rouge, LA are:
Insurance Data Engineer jobs near you

Developer (.NET, C# and Azure data factory. EDI(X12) or FHIR)

NTT DATA North America

Baton Rouge, LA • On-site

$52.75 - $65.50/hr

Full-time

Posted 10 days ago

Job description

Job Summary:
NTT DATA is a trusted global innovator of business and technology services, seeking a highly skilled Senior Developer with a background in the healthcare sector. The role involves designing, building, and maintaining high-performance integration solutions and data pipelines while utilizing healthcare data standards.
Responsibilities:
• Build, optimize, and maintain robust backend systems using .NET and C#.
• Design and deploy scalable, cloud-based data orchestration pipelines using Azure Data Factory (ADF).
• Implement, parse, and map complex data payloads using EDI (X12) or FHIR standards.
• Mentor junior team members, conduct code reviews, and champion clean, modern software engineering practices.
• Collaborate with DevOps to deploy and monitor secure integrations within the Azure ecosystem.
Qualifications:
Required:
• 3 years of direct experience working within healthcare IT, health-tech, or insurance sectors (Mandatory).
• 5 years of professional software development experience specializing in C# and .NET Framework / .NET Core.
• 3 years of hands-on experience building, debugging, and managing cloud-based ETL/ELT pipelines.
• 3 years of deep technical experience working with either: EDI (X12) transaction sets (e.g., 834, 835, 837, 270/271) OR FHIR (Fast Healthcare Interoperability Resources) APIs and resources.
• 5 years of strong proficiency in SQL Server, Azure SQL, or similar relational database systems.
• Excellent problem-solving abilities, strong communication skills, and experience working in an Agile/Scrum environment.
Preferred:
• Experience with Azure Logic Apps, Azure Functions, or API Management.
• Knowledge of CI/CD pipeline automation (Azure DevOps or GitHub Actions).
• Relevant Microsoft Azure certifications (e.g., Azure Data Engineer or Azure Developer).
Company:
NTT DATA, Inc. is a trusted global innovator of business and technology services. Founded in 1988, the company is headquartered in Plano, USA, with a team of 10001+ employees. The company is currently Late Stage.

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