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

Kforce Technology Staffing

Data Engineer

Coral Springs, FL

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

IT Labs

Lead Data Engineer

Palm Beach, FL · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Experience working within healthcare, insurance, or regulated industries. Working Conditions ...

New

Wilen

Data Engineer

Deerfield Beach, FL · On-site

$110K - $133K/yr

We are seeking a highly dependable Data Engineer to support and enhance our enterprise data ... Wilen offers a variety of benefits to eligible employees, including health insurance coverage ...

Paramount

Senior Data Engineer

Fort Lauderdale, FL

$115K - $173K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and ... plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if ...

Diverse Lynx

Data Mining Manager

Sunrise, FL

Experience Required - 8+ Years We are looking for a Data Mining developer with strong analytical ... Services, and Insurance (BFSI) domains. Must Have Technical/Functional Skills * nalyze large ...

Munich Re

Data Scientist, AI

Fort Lauderdale, FL · On-site +1

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty ... Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ...

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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 21, 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.
Data Engineer

Data Engineer

Kforce Technology Staffing

Coral Springs, FL

$109K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Engineer in Coral Springs, FL.
Summary:
As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights to our organization. You will work closely with various teams to extract actionable information from data and communicate your findings using Power BI. Proficiency in MySQL is also essential for querying and manipulating data from our databases.
Responsibilities:
  • Collect, clean, and preprocess data from various sources, including databases and external data repositories
  • Write and optimize SQL queries to extract relevant data from MySQL databases
  • Create data visualizations, reports, and dashboards using Power BI to communicate insights effectively
  • Continuously monitor data quality and ensure compliance with data privacy regulations
  • Stay updated on industry trends and emerging technologies in data analysis and visualization
  • Coordinating with other team members to reach project milestones and deadlines
  • Auditing database regularly to maintain quality
  • Creating systems to keep data secure
  • Work closely with Business Intelligence to provide data for analysis

REQUIREMENTS:
  • Proven experience as a Data Engineer with expertise in MySQL and Power BI
  • Strong SQL skills for data extraction and manipulation
  • Proficiency in data visualization tools, especially Power BI
  • Python
  • AWS (Amazon Web Services)
  • Redshift
  • EC2
  • Solid understanding of statistical analysis and data modeling
  • Excellent problem-solving and analytical skills
  • Strong communication and presentation abilities
  • Detail-oriented with a passion for data accuracy
  • Ability to work collaboratively in a team environment

Desirable skillsets for enhancing and expanding the capabilities of our chatbot include:
  • FlowiseAI
  • Vector DB
  • Graph DB
  • Docker

Desired Concepts:
  • RAG (Retrieval-Augmented Generation)
  • ETL (Extract, Transform, Load)
  • Data Warehousing
  • Machine Learning/AI Concepts

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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