Data Engineer - Healthcare

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

Originally posted on Himalayas