Data Engineer with Python and React - Remote

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