Note: The job is a remote job and is open to candidates in USA. Glint Tech Solutions is 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. The role involves designing and developing data pipelines, APIs, and dashboards, while ensuring compliance with security and privacy requirements.
Responsibilities
- 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
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 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
- 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
Company Overview
Company H1B Sponsorship