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