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Insurance Data Engineer Jobs in Miami, FL (NOW HIRING)

eMed LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off * Short Term & Long Term Disability

Kforce Technology Staffing

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Contact Government Services, LLC

Data Engineer

Miami, FL

$109K - $131K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Worth AI

Principal Data Engineer (Miami)

Miami, FL · On-site

Worth is looking for a Principal Data Engineer to own the company-wide data architecture and ... Life Insurance * Unlimited Paid Time Off * 9 paid Holidays * Family Leave * Work From Home * Free ...

Celestar

Full-Stack Data Engineer (SOUTHCOM)

Doral, FL · On-site

$140K - $145K/yr

Full-Stack Data Engineer At Celestar, a B&A Company, we foster and embrace a distinct set of values ... insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored ...

B&A

Full-Stack Data Engineer (SOUTHCOM)

Doral, FL · On-site

$140K - $145K/yr

Description Full-Stack Data Engineer At Celestar, a B&A Company, we foster and embrace a distinct ... insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored ...

Paramount

Senior Data Engineer

Fort Lauderdale, FL

$110K - $165K/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 ...

Nalley Consulting

Data Layer Engineer - Mid

Miami, FL · On-site

$109K - $131K/yr

Data Layer Engineer LCAT: Mid Location: SOUTHCOM HQ, Doral, FL / On-site Office: U.S. SOUTHERN ... Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR ...

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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Miami, FL

Insurance Data Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do insurance data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for insurance data engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 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 Miami, FL? For Insurance Data Engineer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Miami, FL look for? The top searched job categories for Insurance Data Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Insurance Data Engineer jobs? Cities near Miami, FL with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Miami, FL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

Data Engineer

eMed LLC

Miami, FL • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Data Engineer
Location: Miami, FL
Reports to: Director of Data
Department: Engineering
About eMed
eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform. Our primary mission is to provide large employers, state/federal governments, unions, and payers with unique healthcare solutions aimed at reducing obesity, improving employee health, and lowering company healthcare costs. Our integrated GLP-1 medication weight management program utilizes state-of-the-art at-home blood collection kits and connected clinical telehealth services to screen, onboard, and manage qualified candidates, ensuring medication adherence and effective management of side effects through continuous telehealth support.
Description
We are looking for an experienced Data Engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you'll create algorithms and conduct statistical analysis. Overall, you'll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we'd like to hear from you.
Responsibilities
  • Analyze and organize raw data
  • Build data systems and pipelines
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects

Requirements
  • 2-4 years experience as a Data Engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Python and Javascript preferred)
  • Hands-on experience with SQL
  • Great numerical and analytical skills
  • Degree in Computer Science, IT, or similar field; a Master's is a plus
  • Experience working for a fast-moving start-up or for a health tech company is a plus
  • Experience with event sourcing and event-driven architecture is a plus
  • Experience with AWS-hosted data lakes and data tools is a plus

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • Short Term & Long Term Disability
  • Training & Development
  • Catered breakfast and lunch daily, snacks
  • Wellness Resources

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