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Healthcare Data Engineer Jobs in Florida (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed ... healthcare costs. Our integrated GLP-1 medication weight management program utilizes ...

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Showing results 1-20

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 3, 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 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.

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 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:
Infographic showing various Healthcare Data Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

ETL Specialist (Healthcare Data Engineer)

Ensure Data Solutions, LLC

Miami, FL • On-site

$50K - $60K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago


Job description

About Us

We are a fast-growing healthcare informatics and population health management SaaS company focused on supporting organizations that care for high-complexity, high-severity patient populations, including Medicare Advantage, Medicaid Managed Care, and ACA plans, ACOs, health systems, MSOs, and primary care groups. Our platform integrates EHR, claims, device, and care management data to power risk stratification, cohort building, care gap identification, clinical workflows, outcomes-aligned analytics and provide real-time insights.

We are building a next-generation data infrastructure to support AI-driven care management, interoperability (FHIR/HL7), and value-based care performance optimization.

Position Summary

We are seeking a highly skilled ETL Specialist (Healthcare Data Engineer) to design, build, and optimize scalable data pipelines that ingest, transform, and operationalize large-scale healthcare datasets, including EHR, claims, lab, pharmacy, and device data.

This role is mission-critical to our SaaS platform and will directly support cohort stratification, predictive analytics, clinical reporting, interoperability, and AI-driven care management workflows.

The ideal candidate has deep experience in healthcare data ecosystems (membership, ICD-10 codes, CPT/HCPCS codes, other claims data elements) and can build reliable, secure, and high-performance ETL pipelines in a cloud-native environment.

Key Responsibilities

Data Pipeline Architecture & ETL Development

  • Ingest data from EHR systems, claims clearinghouses, HIEs, APIs, flat files, and third-party data vendors
  • Leverage automated workflows for data extraction, transformation, normalization, and loading into data warehouses/lakes
  • Optimize batch and near-real-time data ingestion pipelines for performance and reliability
  • Implement robust data validation, error handling, and reconciliation logic

Data Modeling & Warehousing

  • Build dimensional models for analytics, quality measures, risk scoring, and reporting
  • Support cohort building and stratification frameworks used in population health and value-based care
  • Ensure high data integrity, lineage tracking, and auditability

Analytics & Product Enablement

  • Partner with Software Development teams to deliver clean, usable datasets
  • Support predictive modeling, risk stratification, and prescriptive analytics initiatives
  • Enable dashboards, reporting layers, and client-facing analytics products

Compliance, Security & Governance

  • Ensure HIPAA-compliant data handling and secure PHI processing
  • Implement data governance, encryption, and access control best practices
  • Maintain audit logs and documentation for regulatory and client requirements
  • Support SOC 2, HITRUST, and healthcare security frameworks

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (Master’s preferred)
  • 1–3+ years of experience in ETL development, data engineering, or data integration
  • Experience working with large-scale healthcare datasets (EHR, claims, or clinical data)
  • Experience in healthcare SaaS, population health, or value-based care environments
  • Knowledge of CMS programs (ACO REACH, Medicare Advantage, HEDIS, Stars, Risk Adjustment)
  • Familiarity with OMOP, FHIR data models, or clinical data normalization frameworks
  • Knowledge of healthcare quality measures and care management data workflows

Technical Stack

  • Languages: SQL
  • Databases: SQL

Key Competencies

  • Strong problem-solving and analytical thinking
  • High attention to data quality and accuracy
  • Ability to work in a fast-paced, high-growth SaaS environment
  • Strong documentation and communication skills

Compensation & Benefits

  • Competitive salary
  • Health, dental, and vision insurance
  • Generous PTO and holidays
  • Opportunity to work at the forefront of healthcare AI, interoperability, and outcomes-aligned care