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 Originally posted on Himalayas