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Insurance Data Engineer Jobs in Santa Rosa Beach, FL

Perform data collection and analysis during flight tests, ensuring accurate and reliable results ... life insurance, short-term disability, long-term disability, flexible spending accounts, Health ...

Perform data collection and analysis during flight tests, ensuring accurate and reliable results ... life insurance, short-term disability, long-term disability, flexible spending accounts, Health ...

Verifies tasks including analysis of resultant weapons fly-out data to analyze accuracy of M&S ... ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability ...

Performs technical assessments of test guidelines, methodologies, data sets, and formal reports ... ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability ...

Performs technical assessments of test guidelines, methodologies, data sets, and formal reports ... ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability ...

Hotel Maintenance Engineer

Destin, FL · On-site +1

$15 - $19/hr

... Insurance Audit team. This role focuses on delivering accurate, timely, and compliant audit ... Review and verify client-submitted data for completeness, accuracy, and compliance with audit ...

Senior Drainage Engineer

Panama City, FL · On-site

$95K - $130K/yr

Collecting and analyzing data for inclusion in Project Plans and reports * Using computer ... Employer-Paid Life/AD&D insurance * Employer-Paid short-term disability and long-term disability

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Insurance Data Engineer information

See Santa Rosa Beach, FL salary details

$40.3K

$117.5K

$160.7K

How much do insurance data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for insurance data engineer in Santa Rosa Beach, FL is $117,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $124,500.00 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 job categories do people searching Insurance Data Engineer jobs in Santa Rosa Beach, FL look for? The top searched job categories for Insurance Data Engineer jobs in Santa Rosa Beach, FL are:
What cities near Santa Rosa Beach, FL are hiring for Insurance Data Engineer jobs? Cities near Santa Rosa Beach, FL with the most Insurance Data Engineer job openings:
Associate Technical Data Designer

Associate Technical Data Designer

Boeing

Fort Walton Beach, FL • On-site

$73K - $98K/yr

Full-time

Medical, Life, Retirement

Posted 17 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 602 frontline employees who took The Breakroom Quiz

34th of 527 rated manufacturers


Job description

Associate Technical Data Designer

Company:

Boeing Aerospace Operations

The Boeing Global Services (BGS) and the Product Support Engineering team is seeking an Associate Technical Data Designer to support our F/A-18 program in Fort Walton Beach, FL.

This role centers on developing and maintaining detailed technical publications to support maintenance activities for fielded equipment and subsystems. The specialist is responsible for producing clear documentation such as operation theories, troubleshooting procedures, parts breakdowns, and schematic diagrams. Collaborating with cross-disciplinary technical teams, the role ensures accuracy and quality through rigorous data validation, reviews, and impact assessments of design or procedural changes.

Ideal candidates possess hands-on experience with aircraft maintenance, specifically in communication, navigation, and instrumentation systems, with preferred experience on F/A-18 platforms. Strong skills in interpreting engineering drawings and specifications are essential to effectively translate complex technical information into usable maintenance publications that support operational readiness and sustainment.

Position Responsibilities:

  • Develops multiple publication elements for all levels of maintenance for a fielded equipment minor system or multiple sub systems

  • Collects, researches and analyzes source data and validates source data based on predefined and developed assumptions

  • Communicates with technical personnel from multiple skill areas and functions to evaluate technical information and issues impacting design, production, and support of products, services, or other deliverables

  • Coordinates the preparation of illustrative materials

  • Conducts quality and in process reviews and validation of technical publications

  • Estimates the impact of proposals or changes to the publication elements

Basic Qualifications (Required Skills/Experience):

  • 3+ years of experience with aircraft maintenance

  • 1+ years of experience with aircraft communications systems

Preferred Qualifications (Desired Skills/Experience):

  • Experience with F/A-18 Aircraft Communication, Navigation, Instruments and Electrical systems

  • Ability to interpret and read Engineering documentation (including drawings and specifications) drawings

Conflict Of Interest:

Successful Candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $73,100 - $98,900

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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