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Healthcare Data Engineer Jobs in Florida (NOW HIRING)

WorkNovas LLC

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Data Engineer Remote but inperson interview in Jacksonville, FL Data Engineer plays a critical role ... This role supports sensitive healthcare and business data and requires a strong focus on data ...

NationsBenefits, LLC

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

NationsBenefits

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

NationsBenefits, LLC

Data Engineer I

Plantation, FL

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

NationsBenefits, LLC

Data Engineer II

Plantation, FL · On-site

We partner with managed care organizations to provide innovative healthcare solutions that drive ... The Technology & Data team is seeking an experienced Data Engineer II to support the design ...

NationsBenefits

Data Engineer II

Plantation, FL · On-site

We partner with managed care organizations to provide innovative healthcare solutions that drive ... The Technology & Data team is seeking an experienced Data Engineer II to support the design ...

nLeague

Healthcare Data entry specalist

Tallahassee, FL · On-site

$14.75 - $19.75/hr

... Department of Health Bureau of Communicable Diseases Patient Care Programs Skills Needed: * Three years of customer service experience. * Two years of clerical duties in data entry and ...

STEMboard

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

A data engineer has a deep understanding of performance optimization and data pipelining. In ... Benefits: * Healthcare, Vision, and Dental Insurance * 20 Days of PTO * 401K Matching * Training ...

OneImaging

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

OneImaging is revolutionizing healthcare by providing a concierge approach to radiology services, connecting patients with a premium network of vetted providers. The Data Engineer will be responsible ...

Pwc

Payer Healthcare Data Scientist, Manager

Miami, FL

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Broward Health

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Broward Health is a healthcare organization focused on providing quality services, and they are seeking an AI Data Engineer. The role involves designing and maintaining data pipelines for AI model ...

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All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Florida

Healthcare Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do healthcare data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for healthcare data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What is a healthcare data engineer?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are some typical projects or challenges a healthcare data engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

What are the key skills and qualifications needed to thrive as a healthcare data engineer, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

How do you become a healthcare data engineer?

To become a healthcare data engineer, one typically needs a bachelor's degree in computer science, data science, or a related field, along with experience in data management, programming languages like Python or SQL, and familiarity with healthcare data standards such as HL7 or FHIR. Gaining knowledge of healthcare regulations like HIPAA and obtaining relevant certifications can also enhance job prospects. Practical experience with data pipelines, cloud platforms, and database systems is essential for this role.

What are popular job titles related to Healthcare Data Engineer jobs in Florida?

For Healthcare Data Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Engineer jobs in Florida look for?

The top searched job categories for Healthcare Data Engineer jobs in Florida are:

What cities in Florida are hiring for Healthcare Data Engineer jobs?

Cities in Florida with the most Healthcare Data Engineer job openings:

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Data Engineer

WorkNovas LLC

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Posted 5 days ago

Job description

 Data Engineer 
Remote but inperson interview in Jacksonville, FL
Data Engineer plays a critical role in designing, building, and supporting the organization’s data services platform across Snowflake, Coalesce, Microsoft SQL Server, and Azure. This position develops reliable ELT and ETL workflows, supports data modeling and warehouse-oriented structures, and ensures that trusted, well-documented data is available for analytics, reporting, operations, and decision-making.

The ideal candidate will have strong SQL and data modeling skills, experience developing reliable data transformation workflows, and the ability to work closely with analytics, development, and business teams. This role supports sensitive healthcare and business data and requires a strong focus on data quality, reconciliation, security, documentation, and practical stakeholder support.

Education and Experience

•     Bachelor's degree in healthcare management, data analytics, statistics, information systems, business, or a related field; master’s degree preferred.

•     Proven experience as a Data Engineer or in a similar role.

•     Proficiency with SQL, Microsoft SQL Server, Snowflake, data modeling, and ELT or ETL development; experience with Coalesce or similar transformation and orchestration tools is strongly preferred.

•     Strong scripting or programming skills in languages commonly used for data engineering and automation, such as SQL, Python, PowerShell, or C#.

•     Strong proficiency in supporting data analytics and reporting tools such as SQL, Excel, Tableau, Power BI, or similar platforms.

•     Working knowledge of AI-assisted productivity, analytics, automation, or documentation tools, with the ability to validate outputs and apply sound judgment.

•     Knowledge of healthcare data privacy responsibilities and the handling of confidential information.

•     Preferred qualifications include hands-on experience with Snowflake, Coalesce, Microsoft SQL Server, Azure Data Factory or similar Azure data services, source control, deployment workflows, healthcare data, and business intelligence or analytics platforms such as Tableau or Power BI.

Knowledge, Skills, and Abilities 

•     Team Orientation & Interpersonal – highly motivated, collaborative, and service-oriented, with the ability to develop and maintain productive relationships with executives, peers, clinicians, clinical leaders, and external stakeholders.

•     Communication – able to explain complex data, technical concepts, AI-assisted outputs, and performance findings clearly and professionally in written, verbal, dashboard, and presentation formats.

•     Analytical Thinking – able to evaluate complex datasets and convert findings into practical modeling recommendations.

•     Organization & Time Management – able to work independently with minimal supervision, manage multiple priorities, and deliver accurate work within established deadlines.

•     Systems, Software & AI Tools – proficient with respective development environment tools, with the ability to use AI-assisted technologies responsibly to improve productivity, analysis, reporting.