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

Globaltech, Inc.

Project Engineer (E1)

Boca Raton, FL · On-site

... life insurance, 401K retirement program, paid vacation and holidays, sick pay, and employee ... Perform periodic field inspections and data collection * Assist senior Engineers as needed * Other ...

New

Chewy

Software Engineer III

Plantation, FL

$141K - $225K/yr

These systems span distributed services and data pipelines supporting both real-time and batch ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $120K/yr

... data pipelines, and cloud infrastructure. • Deep experience across the agentic AI stack ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

ARC Group

Professional Engineer

Davie, FL · Hybrid

$75K - $100K/yr

Coordination with engineering technicians for data collection and drawing preparation * Sign and ... Benefit options include health, dental, vision insurance, and 401K match * Expanding company with ...

Dometic

Manufacturing Controls Engineer

Pompano Beach, FL · On-site

$78K - $92K/yr

Support CANBus communication setup, data acquisition, machine communication, and test-stand control ... Disability insurance (STD/LTD) * 401 (k) with company match * PTO * Company defined holidays and ...

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Showing results 1-20

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 Jun 22, 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 health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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 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 June 2026, with employment types broken down into 61% Full Time, 35% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,096 per year, or $59.2 per hour.
Solutions Engineer, Remote

Solutions Engineer, Remote

Aperia Technologies

Lake Worth, FL

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 hours ago

Job description

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halotm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

Your Role

We are seeking a motivated and technically proficient Solutions Engineer to serve as a trusted advisor to customers throughout the sales process and beyond. In this role, you will collaborate with Sales and Customer Experience teams to analyze and present data, optimize customer engagements, and drive successful outcomes. This position is key to delivering a seamless, cohesive experience across pre-sales and post-sales interactions.

Your Responsibilities

Customer Engagement:

  • Serve as a subject matter expert on Aperia’s products, pilot data, and algorithm behavior to effectively communicate value to potential customers.
  • Own the discovery and qualification process for Aperia’s technical compatibility with customer environments.
  • Partner with Sales Directors to identify customer business goals, needs, and pain points, and craft solutions that address them.
  • Develop and deliver engaging presentations and demonstrations for technical and non-technical audiences, virtually and in person.

Technical Expertise:

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  • Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success.
  • Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.
  • Monitor industry trends, competitor offerings, and ecosystem developments to maintain deep technical expertise.

Cross-Functional Collaboration:

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  • Act as the voice of the customer by representing feedback to Product and Engineering teams.
  • Optimize the technical sales pilot process by developing tools, analyses, and artifacts that streamline workflows.
  • Collaborate with Sales, Product, and Engineering teams to refine strategies and improve customer outcomes.

Skills/Qualifications

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  • B.S or B.A degree in Engineering, Business administration or related field required.
  • 3+ years of experience in a solutions engineering, sales engineering, or similar role.
  • Proficiency in SQL and Python is required; experience with additional programming languages or tools is a plus.
  • Strong analytical skills with expertise in Excel and statistical analysis.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
  • Solution-oriented mindset, motivated by creating practical solutions to complex problems.
  • Experience and familiarity with the sales/pre-sales processes used in either hardware or software sales.
  • Polished presenter, comfortable leading presentations and demos of our portal and pilot data to large groups, both technical and non-technical. Virtually and in person.
  • Proven ability to thrive in fast-paced environments, meet deadlines, and maintain commitments to customers and coworkers.

Pay Range: $120,000 - $140,000

*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

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