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

Strong programming skills in Python or R, with proficiency in data manipulation libraries ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Health insurance * Opportunity for advancement * Paid time off * Training & development The ... Research technical data, tooling, drawings, and parts requirements for future capability and ...

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

... Data classes,Data Structures & Algorithms,Design Patterns. • Machine Learning: NumPy, Pandas ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

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Mechanical Engineer

Fort Lauderdale, FL · On-site

$90K - $140K/yr

Mechanical Engineer - Data Center Design & Build Company: iM Datacenters - Modular Data Center ... insurance · Generous PTO and paid holidays iM Data Centers is reshaping the future of data centers ...

Principal Security Engineer

Plantation, FL · On-site

$170.50K - $297.50K/yr

You will work deeply within AWS-based platforms, Kubernetes (EKS), and data services, setting ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

You will work deeply within AWS-based platforms, Kubernetes (EKS), and data services, setting ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

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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 May 30, 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.

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 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 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 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:
Infographic showing various Insurance Data Engineer job openings in Boca Raton, FL as of May 2026, with employment types broken down into 1% As Needed, 58% Full Time, 33% Part Time, 7% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $123,096 per year, or $59.2 per hour.

Junior Software Engineer

Prestige International Insurance Gr Inc

Tamarac, FL • On-site

$55K - $90K/yr

Full-time

Posted 2 days ago


Job description

Position Summary:

Prestige Trucking Insurance is seeking a Junior Software Engineer to support the development, enhancement, and maintenance of internal systems and tools that power daily business operations. This role is designed for an early‑career engineer who is eager to learn, build real systems, and grow their technical skills within a production environment. The Junior Software Engineer will work closely with senior engineers and business stakeholders to support backend services, frontend interfaces, automation tools, and internal platforms. This is a hands‑on role focused on building practical experience, learning engineering best practices, and contributing to systems that support real insurance workflows. The ideal candidate is curious, detail‑oriented, and motivated to develop strong engineering fundamentals while learning how technology supports complex business operations.

Essential Duties and Responsibilities:

• Support development of backend services, APIs, and internal tools under guidance from senior engineers
• Assist in building and maintaining frontend components and user interfaces
• Write clean, readable, and maintainable code following established standards
• Support basic automation scripts and small workflow improvements
• Assist with debugging, testing, and resolving technical issues
• Contribute to system documentation and technical notes
• Participate in code reviews and learn from feedback
• Work with databases to read, write, and validate application data
• Support data accuracy and integrity within systems
• Learn and follow best practices for security, reliability, and performance
• Collaborate with team members across engineering, operations, and business teams
• Participate in testing activities including unit and basic integration testing
• Support deployments, environment updates, and system maintenance tasks
• Continuously develop technical skills through hands‑on work and mentorship

Knowledge / Skills / Abilities (KSA’s):

  • Foundational Programming Skills – Working knowledge of at least one backend or full‑stack language such as Python, JavaScript, or TypeScript.
  • Problem‑Solving Ability – Ability to analyze issues, ask good questions, and contribute to solutions under guidance.
  • Backend & API Fundamentals – Understanding of basic backend concepts including APIs, data flow, and service interactions.
  • Frontend Fundamentals – Basic familiarity with modern frontend frameworks such as React or similar technologies.
  • Database Basics – Understanding of relational databases and basic querying concepts.
  • Attention to Detail – Ability to follow requirements carefully, test work, and ensure accuracy.
  • Learning Mindset – Willingness to learn new technologies, tools, and workflows quickly.
  • Collaboration & Communication – Ability to work effectively with teammates, receive feedback, and communicate clearly.
  • Professionalism & Reliability – Demonstrated accountability, punctuality, and respect for processes and data confidentiality.
  • Time Management – Ability to manage assigned tasks, meet deadlines, and communicate progress effectively.

Minimum Qualifications:

Required

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
• At least 2 years of professional or internship experience in software development
• Basic programming experience in Python, JavaScript, or a similar language
• Familiarity with basic web development concepts (HTML, CSS, APIs)
• Exposure to version control systems such as Git
• Strong willingness to learn and grow in a production engineering environment
• Ability to work on‑site in Tamarac, FL

Preferred

• Internship or project experience building backend or full‑stack applications
• Familiarity with React, Node.js, or Python frameworks
• Exposure to databases such as PostgreSQL or MySQL
• Understanding of basic software testing concepts
• Interest in automation, systems, or internal tooling
• Exposure to cloud services (AWS, GCP, or similar)

Physical Demands and Work Environment:

• Office‑based position with standard business hours
• On‑site collaboration with engineering and operations teams
• Frequent use of computer systems for development and testing


Standard office hours are 9am-6pm.
Standard office hours are 9am-6pm.