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Insurance Data Engineer Jobs in Boca Raton, FL (NOW HIRING)

Home - TWS

Business & Data Analyst

Boca Raton, FL · Hybrid

... insurance (F&I) products for the Company. This position requires the individual to learn and ... developers to automate rate calculations and implement efficiencies Complete user acceptance ...

New

Pae

FORACS Engineer

Palm Beach, FL

Analyze data and produce reports in a timely manner to designated recipients. * Monitors shipboard ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

Amentum

FORACS Engineer

Palm Beach, FL · On-site

Analyze data and produce reports in a timely manner to designated recipients. * Monitors shipboard ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

Cisco

Software Engineer, Backend

Boca Raton, FL · 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 ...

Trans Union LLC

Senior Data Operations Analyst

Boca Raton, FL · On-site

$81K - $102K/yr

This role reports directly to the Manager of the Enterprise Applications and Programming division ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

SST Direct

Project Engineer

Fort Lauderdale, FL · On-site

Comprehensive employee benefits including Medical, Dental, Vision insurance 401k match, PTO, and ... Maintains project data base by writing computer programs; entering and backing up data.

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Boca Raton, FL

Insurance Data Engineer information

See Boca Raton, FL salary details

$42.2K

$123.1K

$168.4K

How much do insurance data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for insurance data engineer in Boca Raton, FL is $123,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 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 are popular job titles related to Insurance Data Engineer jobs in Boca Raton, FL? For Insurance Data Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Boca Raton, FL look for? The top searched job categories for Insurance Data Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Insurance Data Engineer jobs? Cities near Boca Raton, FL with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Boca Raton, FL as of July 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $123,096 per year, or $59.2 per hour.

Business & Data Analyst

Home - TWS

Boca Raton, FL • Hybrid

Full-time

Posted 3 days ago

New

Job description

THIS IS A HYBRID ROLE LOCATED IN BOCA RATON, FL.

The Business & Data Analyst is responsible for utilizing an administrative system that has been designed to administer finance and insurance (F&I) products for the Company. This position requires the individual to learn and thoroughly understand the functionality and how it impacts the business. This role requires the individual to work with internal & external stakeholders at different levels to understand the business and be able to advise on and implement changes and solutions.

ESSENTIAL DUTIES & RESPONSIBILITIES

Ensure business is transferred over to TWS' underwriter monthly, troubleshoot & resolve rejected business

Reconcile large sets of data between two systems

Liaise with the Implementation team and/or underwriter for any issues that require their input/set-ups.

Manage pricing changes by liaising with management and underwriter, identify requirements, coordinate changes across several team members, verify changes and plan implementation and testing

Ability to identify pricing trends & perform basic mathematical calculations to address pricing requests and make recommendation

Develop and manage a tracking system for pricing changes across several products

Liaise with inhouse SQL developers to automate rate calculations and implement efficiencies

Complete user acceptance testing for areas of responsibility as required

Understand system functionality of several modules impacting sales, claims, accounting, and reinsurance

Review business requirements with department managers and liaise with system provider to ensure changes/enhancements are made to meet needs

Develop ad-hoc reporting for stakeholders and management

Ability to effectively communicate with and present information to stakeholders at all levels, internally & externally

Ability to develop professional relationships with internal and external customers

Willing to assist other departments with tasks as and when required

Must thrive in a fast-paced environment and be able to work independently and as a member of a team

Special projects as assigned by immediate supervisor

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