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Healthcare Data Analytics Jobs in Boca Raton, FL

... the healthcare experience. Founded in 2010 by a practicing physician and a successful tech ... Senior Analytics Engineer to join our high-performing Data Analytics team in a fast-paced ...

New

... the healthcare experience. Founded in 2010 by a practicing physician and a successful tech ... Senior Analytics Engineer to join our high-performing Data Analytics team in a fast-paced ...

New

Bachelor's degree in Healthcare Administration, Finance, Business, Public Health, Data Analytics, or a related field required * Experience in healthcare, value-based care, managed care contracting ...

Financial services, healthcare, insurance, or similar analytical environments * 3+ years of experience: * Creating and maintaining technical documentation * Analyzing and reporting data using ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

The primary role of the Healthcare Coordinator (HC) is to partner with supported Dentists to help ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Healthcare Coordinator

Oakland Park, FL · On-site

$18 - $25.50/hr

The Healthcare Coordinator should support each patient in a consultative and educational manner ... Process Focused Operator (data driven decision-maker; detailed; organized and structured ...

Showing results 21-40

Healthcare Data Analytics information

See Boca Raton, FL salary details

$23

$51

$89

How much do healthcare data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for healthcare data analytics in Boca Raton, FL is $51.80, according to ZipRecruiter salary data. Most workers in this role earn between $41.63 and $58.65 per hour, depending on experience, location, and employer.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

How do I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or certifications such as Certified Health Data Analyst (CHDA) can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What job categories do people searching Healthcare Data Analytics jobs in Boca Raton, FL look for?

The top searched job categories for Healthcare Data Analytics jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Healthcare Data Analytics jobs?

Cities near Boca Raton, FL with the most Healthcare Data Analytics job openings:

Infographic showing various Healthcare Data Analytics job openings in Boca Raton, FL as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $107,737 per year, or $51.8 per hour.

Senior Data Engineer - EDI Claims Processing

NationsBenefits, LLC

Plantation, FL

$105K - $143K/yr

Full-time

Medical

Re-posted 14 days ago


NationsBenefits rating

6.6

Company rating: 6.6 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

318th of 500 rated business services


Job description

NationsBenefits is recognized as one of the fastest-growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members.Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction.Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members.We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India.
Location: Plantation, FL (On-site)
Senior Data Engineer
About the Role

We are seeking an experienced Senior Data Engineer - EDI Claims Processing to join our growing Data Engineering team. This role is responsible for designing, developing, and maintaining enterprise-scale healthcare data integration solutions focused on HIPAA X12 EDI transactions, Medicaid encounters, and CMS compliance.

The ideal candidate has extensive experience building high-volume data pipelines using Databricks and SQL Server, a deep understanding of HIPAA X12 transaction standards, and hands-on experience supporting healthcare claims processing, clearinghouse integrations, and regulatory compliance.

This is an excellent opportunity for a healthcare data engineering professional who enjoys solving complex integration challenges while delivering reliable, scalable, and compliant data solutions.

Key ResponsibilitiesEDI Data Pipeline Engineering
  • Design, develop, and optimize enterprise-grade ingestion, parsing, validation, transformation, and delivery pipelines for HIPAA X12 transactions, including:
    • 837 (Professional, Institutional, Dental Claims)
    • 277CA (Claims Acknowledgment)
    • 999 (Implementation Acknowledgment)
    • 834 (Member Eligibility)
    • 835 (Remittance Advice)
  • Build scalable, high-performance ETL/ELT workflows using Databricks, PySpark, Delta Lake, and SQL Server.
Claims & Encounter Processing
  • Manage Medicaid encounter submissions, reconciliation, and error remediation with state Medicaid agencies.
  • Support CMS encounter processing by implementing regulatory updates, schema changes, and compliance requirements.
  • Collaborate with internal teams to ensure accurate and timely claims submissions.
Data Integration & Validation
  • Develop automated validation frameworks to ensure HIPAA compliance, SNIP validation, and business rule enforcement.
  • Maintain secure and reliable integrations with healthcare clearinghouses and trading partners.
  • Analyze and troubleshoot complex EDI processing issues across multiple systems.
Operational Excellence
  • Build monitoring, alerting, logging, and SLA reporting for production EDI workflows.
  • Continuously improve pipeline performance, scalability, and reliability.
  • Maintain technical documentation, mapping specifications, companion guide implementations, and data dictionaries.
Cross-Functional Collaboration
  • Partner with Claims Operations, Compliance, Product, IT Security, and external healthcare partners to support enterprise data integration initiatives.
  • Participate in architecture discussions and recommend best practices for healthcare data engineering.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • 5-8+ years of experience as a Data Engineer, Integration Engineer, or Healthcare Data Engineer.
  • Strong expertise with HIPAA X12 EDI transaction standards, including:
    • 837 (Professional, Institutional, Dental)
    • 277CA
    • 999
    • 834
    • 835
  • Hands-on experience with Medicaid encounter processing and state Medicaid submissions.
  • Experience implementing CMS encounter regulations, schema updates, and compliance changes.
  • Strong experience with Databricks, PySpark, Delta Lake, and SQL Server.
  • Experience with healthcare claims validation platforms such as HIPAA Suite or similar EDI processing tools.
  • Strong understanding of:
    • HIPAA regulations
    • PHI security and data privacy
    • SNIP validation levels
    • EDI mapping, loops, segments, and companion guides
  • Experience integrating with healthcare clearinghouses such as Availity, Change Healthcare, or similar platforms.
  • Excellent troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
  • Experience with Azure Databricks or other cloud-based data engineering platforms.
  • Knowledge of healthcare interoperability standards such as FHIR and HL7.
  • Experience with encounter error remediation and state-specific Medicaid edit codes.
  • Background supporting Medicaid Managed Care, Medicare Advantage, or Accountable Care Organization (ACO) environments.
  • Experience building automated reconciliation, validation, and quality assurance frameworks for healthcare EDI transactions.
  • Familiarity with CI/CD pipelines and DevOps practices for data engineering.
Technical Skills
  • Databricks
  • PySpark
  • Delta Lake
  • SQL Server
  • T-SQL
  • Azure Databricks (Preferred)
  • HIPAA X12 EDI
  • Medicaid Encounters
  • CMS Encounter Processing
  • HIPAA Suite (or equivalent)
  • ETL / ELT Development
  • Data Validation & Reconciliation
  • Healthcare Claims Processing
  • Azure (Preferred)
What You'll Bring
  • Strong ownership mindset with the ability to work independently on complex technical initiatives.
  • Excellent communication and collaboration skills across technical and business teams.
  • Passion for building scalable, reliable, and compliant healthcare data solutions.
  • Commitment to delivering high-quality data engineering solutions in a fast-paced healthcare environment.
Why Join Us?

Join a collaborative team where you'll help build mission-critical healthcare data platforms that support millions of healthcare transactions. You'll work with modern data technologies, contribute to large-scale integration initiatives, and play a key role in ensuring secure, compliant, and high-quality healthcare data processing.
NationsBenefits is an Equal Opportunity Employer.

Employment Type: FULL_TIME

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