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
The role focuses on building and maintaining scalable, data-driven applications and platforms for the healthcare domain. You will combine Python for backend and data engineering with React for frontend development, while designing pipelines, integrations, and reporting tools that support clinicians and healthcare operations.
Responsibilities
- Build and maintain data-driven web applications using Python for backend/data engineering and React for the 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, such as HL7, FHIR, and Epic or 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
Requirements
- 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, such as AWS, Azure, or GCP
- Ability to work in ambiguous, real-world problem spaces
- Strong communication skills with both technical and non-technical stakeholders
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Technologies
Python, React, Pandas, PySpark, Airflow, SQLAlchemy, REST APIs, ETL, ELT, React.js, 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 working with healthcare workflows (clinical, operational, or administrative systems)
- Exposure to regulated environments including HIPAA and other 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
Location
Jersey City, NJ with remote work available.
Education
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
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