Data Engineer

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

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

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

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