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Remote Cerner Pathnet Analyst Jobs in Florida (NOW HIRING)

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Develop internal tools, analytics platforms, and operational dashboards for clinicians ... Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments ...

Data Engineer

Tampa, FL · Remote

$108K - $129K/yr

Develop internal tools, analytics platforms, and operational dashboards for clinicians ... Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments ...

Remote Cerner Pathnet Analyst information

What are the key skills and qualifications needed to thrive in the Remote Cerner Pathnet Analyst position, and why are they important?

To thrive as a Remote Cerner Pathnet Analyst, you need a robust understanding of laboratory information systems, clinical workflows, and troubleshooting, typically backed by a degree in health informatics or a related field. Familiarity with the Cerner Pathnet system, HL7 messaging, and certifications such as Cerner Certified Professional are commonly expected. Excellent problem-solving abilities, strong communication skills, and an aptitude for remote collaboration help analysts excel in this position. These competencies ensure efficient system support, seamless teamwork, and successful adaptation to rapidly evolving healthcare technology needs.

What are some common challenges faced by Remote Cerner Pathnet Analysts, and how do they overcome them?

Remote Cerner Pathnet Analysts often encounter challenges such as troubleshooting complex laboratory interface issues and ensuring accurate configuration for diverse medical workflows across different facilities. Working remotely can also make it harder to communicate complex issues quickly with onsite staff or to stay updated on day-to-day laboratory operations. Successful analysts overcome these obstacles by leveraging strong documentation practices, utilizing collaborative communication tools, and maintaining proactive relationships with both technical teams and end users. Organizations typically provide access to robust remote support environments and encourage ongoing professional development to ensure analysts can address challenges efficiently.

What is a Remote Cerner Pathnet Analyst job?

A Remote Cerner Pathnet Analyst is a healthcare IT professional who supports and optimizes the Cerner PathNet laboratory information system while working remotely. They assist with system configuration, troubleshooting, and workflow enhancements to improve laboratory operations. Their role often involves collaborating with medical staff, IT teams, and lab personnel to ensure accurate data processing and compliance with healthcare regulations. Additionally, they may provide user training and technical support to resolve issues efficiently.

What are the most commonly searched types of Cerner Pathnet Analyst jobs in Florida? The most popular types of Cerner Pathnet Analyst jobs in Florida are:
What are popular job titles related to Remote Cerner Pathnet Analyst jobs in Florida? For Remote Cerner Pathnet Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Cerner Pathnet Analyst jobs in Florida look for? The top searched job categories for Remote Cerner Pathnet Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Cerner Pathnet Analyst jobs? Cities in Florida with the most Remote Cerner Pathnet Analyst job openings:
Infographic showing various Remote Cerner Pathnet Analyst job openings in Florida as of July 2026, with employment types broken down into 74% Full Time, 8% Part Time, and 18% Contract. Highlights an 100% Remote job distribution.

Data Engineer - Healthcare

Inizio Partners

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Posted 23 days ago


Job description

Position - Data Engineer (Python + React, Healthcare Domain)

Location – Tampa/Remote

Number of positions - 2

Overview

We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.

What You'll Do

  • Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)
  • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows
  • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets
  • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms
  • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams
  • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)
  • Design and optimize data models, warehouses, and data processing workflows
  • Translate healthcare operational and reporting requirements into scalable data solutions
  • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)
  • Monitor, debug, optimize, and maintain production data systems and applications
  • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

Required Skills & Experience

  • Strong hands-on experience with Python for data engineering and backend development
  • Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)
  • Basic to strong experience with React.js frontend development
  • Experience building scalable ETL/ELT pipelines and production-grade data applications
  • Strong understanding of REST APIs and system integrations
  • Experience working with relational and/or NoSQL databases
  • Experience with data warehousing, data modeling, and large-scale data processing
  • Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)
  • Ability to work in ambiguous, real-world problem spaces
  • Strong communication skills with technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Preferred Experience

  • Prior experience in healthcare technology or healthcare systems
  • Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)
  • Experience working with healthcare workflows (clinical, operational, or administrative systems)
  • Exposure to regulated environments (HIPAA, security-sensitive systems)
  • Experience with big data technologies and distributed processing systems
  • Experience building analytics dashboards or data visualization platforms
  • Experience working with enterprise-scale data platforms and pipelines