Data Engineer with Python and React
Backend Developer
Python
Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
ETL
Healthcare Data Integration
Informatica
Information Technology (IT)
Programming
Programming Language
Programming Languages
React
Reporting and Analytics
SQL
Visual Design
Job Description
Glint Tech Solutions LLC is hiring a Data Engineer to develop and support scalable, data-driven applications and platforms for the healthcare domain. This role combines Python for backend data engineering with React for frontend web experiences, along with responsibility for ETL/ELT pipelines, integrations, and production reliability in HIPAA-aligned environments.
Key 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 aligned to 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, including HL7 and FHIR, and Epic and 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 in 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 Qualifications
- Strong hands-on experience with Python for data engineering and backend development.
- Experience with data processing frameworks and libraries such as Pandas, PySpark, Airflow, and SQLAlchemy.
- 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.
Technologies
- Python, React, React.js
- Pandas, PySpark, Airflow, SQLAlchemy
- REST APIs, ETL, ELT
- AWS, Azure, GCP
- HL7, FHIR, Epic, Cerner
Preferred Experience
- Prior experience in healthcare technology or healthcare systems.
- Familiarity with HL7, FHIR, or EHR systems such as Epic or Cerner.
- Experience with healthcare workflows across clinical, operational, or administrative systems.
- Exposure to regulated environments including HIPAA and security-sensitive systems.
- Experience with big data technologies and distributed processing systems.
- Experience building analytics dashboards or data visualization platforms.
- Experience with enterprise-scale data platforms and pipelines.
Location
Jersey City, NJ (remote).
Education
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
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