Data Engineer with Python and React

Glint Tech Solutions LLC is hiring a Data Engineer to help build and maintain scalable, data-driven applications and platforms for the healthcare domain. The role combines Python-based backend and data engineering with React frontend development, while supporting ETL/ELT pipelines, APIs, dashboards, and integrations with healthcare systems under security and compliance requirements in HIPAA-aligned environments.

This position is based in Jersey City, NJ with remote work available. You will use healthcare data standards and interoperability platforms to translate operational and reporting needs into production-grade data solutions.

• 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
• Create 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 such as HL7
  , FHIR
  , Epic
  , and Cerner (where applicable)
• Design and optimize data models
  , data 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 for 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

• Strong hands-on experience with Python for data engineering and backend development
• Experience with data processing frameworks and libraries such as Pandas
  , Py Spark ,
  Airflow
  , and SQL Alchemy
• 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 No
  
  SQL 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

• Python
  , React
  , Pandas
  , Py Spark ,
  Airflow
  , SQL Alchemy
• REST APIs
  , ETL
  , ELT
  , React.js
• AWS
  , Azure
  , GCP
  , HL7
  , FHIR
  , Epic
  , Cerner

• 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