Data Engineer - Healthcare

Position - Data Engineer (Python + React, Healthcare Domain) Location – Tampa, FL (Preferred) / Remote US also works Number of positions - 2 Duration - 12+ months Overvie wWe 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 D • oBuild 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 workflow • sBuild ETL/ELT pipelines to process clinical, operational, and healthcare dataset • sWork with healthcare data systems including EHR integrations and healthcare interoperability platform • sDevelop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations team • sIntegrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable • )Design and optimize data models, warehouses, and data processing workflow • sTranslate healthcare operational and reporting requirements into scalable data solution • sEnsure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments • )Monitor, debug, optimize, and maintain production data systems and application • sCollaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineer sRequired Skills & Experienc • eStrong hands-on experience with Python for data engineering and backend developmen • tExperience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc. • )Basic to strong experience with React.js frontend developmen • tExperience building scalable ETL/ELT pipelines and production-grade data application • sStrong understanding of REST APIs and system integration • sExperience working with relational and/or NoSQL database • sExperience with data warehousing, data modeling, and large-scale data processin • gFamiliarity with cloud platforms and data services (AWS, Azure, or GCP preferred • )Ability to work in ambiguous, real-world problem space • sStrong communication skills with technical and non-technical stakeholder • sBachelor's degree in Computer Science, Engineering, or equivalent experienc ePreferred Experienc • ePrior experience in healthcare technology or healthcare system • sFamiliarity 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 system • sExperience building analytics dashboards or data visualization platform • sExperience working with enterprise-scale data platforms and pipeline s