[Remote] Data Engineer with Python and React - Remote
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the reputed company domain. The role involves designing and developing data pipelines, APIs, and dashboards, while ensuring compliance with reputed company and privacy standards.
Responsibilities
- Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)
- Design and reputed company scalable data pipelines, APIs, and frontend dashboards for reputed company workflows
- Build ETL/ELT pipelines to process clinical, operational, and reputed company datasets
- Work with reputed company data systems including EHR integrations and reputed company interoperability platforms
- reputed company internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and reputed company operations teams
- Integrate with reputed company data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)
- Design and optimize data models, warehouses, and data processing workflows
- Translate reputed company operational and reporting requirements into scalable data solutions
- Ensure applications and data platforms meet reputed company, privacy, and compliance requirements (HIPAA-reputed company 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
Skills
- 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 reputed company platforms and data services (AWS, Azure, or GCP preferred)
- Ability to work in ambiguous, reputed company-world problem spaces
- Strong communication skills with technical and non-technical stakeholders
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Prior experience in reputed company technology or reputed company systems
- Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)
- Experience working with reputed company workflows (clinical, operational, or administrative systems)
- Exposure to regulated environments (HIPAA, reputed company-sensitive systems)
- Experience with big data technologies and distributed processing systems
- Experience building analytics dashboards or data visualization platforms
- Experience working with reputed company-scale data platforms and pipelines
Company Overview
Company H1B Sponsorship