ZipRecruiter

Log In

1

Health Data Management Jobs in Florida (NOW HIRING)

LifeWorks, Inc.

Analyst, Data Management

Miami, FL · On-site

$60K - $80K/yr

TELUS Health is empowering every person to live their healthiest life. Guided by our vision, we are ... Here's the impact you'll make We're looking for an Analyst, Data Management who loves working with ...

DTCC

Data Management Associate Director

Tampa, FL · On-site

Comprehensive health and life insurance and well-being benefits, based on location * Pension ... As a core member of the Data Management Team within Enterprise Data Solutions, an Associate ...

CACI

Data Management Engineer

Tampa, FL · On-site

$108K - $129K/yr

Job Title: Data Management Engineer Job Category: Engineering Time Type: Full time Minimum ... At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial ...

Lifeworks

Analyst, Data Management

Miami, FL

$60K - $80K/yr

TELUS Health is empowering every person to live their healthiest life. Guided by our vision, we are ... Here's the impact you'll make We're looking for an Analyst, Data Management who loves working with ...

Neara

Data Partnerships Manager

Boca Raton, FL · On-site

$90 - $130/hr

Own end-to-end partnership development with oncology navigation platforms, payer-facing care management companies, provider networks, and health data organizations * Structure and negotiate ...

next page

Showing results 1-20

All JobsHealth Data Management JobsHealth Data Management Jobs in Florida

Health Data Management information

See Florida salary details

$23.2K

$72.6K

$128.5K

How much do health data management jobs pay per year?

As of Sep 6, 2026, the average yearly pay for health data management in Florida is $72,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $93,800.00 per year, depending on experience, location, and employer.

What is health data management?

Health data management involves collecting, storing, protecting, and using healthcare information to ensure its accuracy, accessibility, and security. Professionals in this field work with electronic health records (EHRs), patient databases, and other digital systems to support clinical decision-making and healthcare operations. Effective health data management helps improve patient care, supports research, and ensures compliance with regulations such as HIPAA. It also includes safeguarding sensitive information against breaches and unauthorized access.

What are the key skills and qualifications needed to thrive as a health data management professional?

To thrive in Health Data Management, you need expertise in data analysis, database management, and a solid understanding of healthcare regulations, often supported by degrees in health information management or related certifications like RHIA or CHDA. Familiarity with electronic health record (EHR) systems, data visualization tools, and compliance software is typically required. Attention to detail, problem-solving abilities, and strong communication skills help professionals effectively manage sensitive health information and collaborate across departments. These competencies are crucial for ensuring data accuracy, regulatory compliance, and the secure, efficient use of health data to improve patient outcomes.

What are some typical challenges faced in a health data management role, and how are they addressed?

Professionals in Health Data Management often encounter challenges related to ensuring data accuracy, maintaining patient privacy, and integrating data from various sources. Addressing these issues typically involves following strict data governance protocols, using secure and compliant information systems, and collaborating closely with IT, clinical, and administrative teams. Regular training on data standards and staying updated on regulations like HIPAA are also essential for overcoming these challenges and ensuring high-quality, reliable health data.

What is the difference between Health Data Management vs Health Data Analysis?

AspectHealth Data ManagementHealth Data Analysis
Primary FocusOrganizing, storing, and maintaining health data systemsInterpreting and analyzing health data to derive insights
Required SkillsData management, database systems, complianceStatistical analysis, data visualization, interpretation
CertificationsHealth Information Management (HIM), RHITData analysis certifications, like Certified Health Data Analyst (CHDA)
Work EnvironmentHospitals, clinics, health IT companiesResearch institutions, healthcare analytics firms

Health Data Management focuses on maintaining and organizing health information systems, ensuring data accuracy and compliance. In contrast, Health Data Analysis involves examining health data to identify trends and support decision-making. Both roles require a strong understanding of health data, but their core responsibilities differ significantly.

What careers can you get with a health data management degree?

A health data management degree prepares individuals for careers such as health information technician, health data analyst, medical records manager, and health informatics specialist. These roles involve managing electronic health records, analyzing healthcare data, and ensuring compliance with privacy regulations, often requiring familiarity with health IT systems and certifications like RHIT or RHIA.

What are popular job titles related to Health Data Management jobs in Florida?

For Health Data Management jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Health Data Management jobs in Florida look for?

The top searched job categories for Health Data Management jobs in Florida are:

What cities in Florida are hiring for Health Data Management jobs?

Cities in Florida with the most Health Data Management job openings:

Health Data Management jobs near you
Infographic showing various Health Data Management job openings in Florida as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 16% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $72,595 per year, or $34.9 per hour.

Population Health Data Engineer

Software Technology Inc

Pensacola, FL • On-site

$108K - $130K/yr

Full-time

Posted 8 days ago

Job description

Population Health Data Engineer

We are seeking a skilled Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care and claims analytics.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
  • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
  • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking.
  • Build and optimize ELT pipelines using modern cloud platforms.
  • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions.
  • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA).
  • Optimize performance of large-scale datasets and queries.

Required Qualifications

  • Strong hands-on experience with Epic systems, including:
    • Epic Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools and platforms:
    • Snowflake (data warehousing)
    • DBT (data transformation and modeling)
    • Dynamic Tables in Snowflake
  • Solid understanding of healthcare domain concepts, including population health and value-based care.
  • Experience with healthcare claims processing (medical and pharmacy claims).
  • Hands-on experience with Milliman MedInsight data models and analytics workflows.
  • Strong SQL and data modeling expertise.
  • Experience building and maintaining data pipelines.

Key Skills

  • Population Health & Risk Analytics
  • Healthcare Data Modeling (Clinical and Claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance

Education & Experience

  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering, or related field.
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.

Apply