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Data Engineer, Python, React at GTS Technology Solutions | JobVerse
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Data Engineer, Python, React
GTS Technology Solutions
Remote
Website
LinkedIn
Data Engineer, Python, React
New Jersey, United States of America
Full Time
2 hours ago
No Visa Sponsorship
Apply Now
Key skills
Airflow
AWS
Azure
Cloud
ETL
Google Cloud Platform
JavaScript
NoSQL
Pandas
PySpark
Python
React
ELT
Data Engineering
Data Warehousing
Analytics
React.js
GCP
Google Cloud
Communication
About this role
Role Overview
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
Requirements
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)
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Ability to work in ambiguous, real-world problem spaces
Strong communication skills with technical and non-technical stakeholders.
Tech Stack
Airflow
AWS
Azure
Cloud
ETL
Google Cloud Platform
JavaScript
NoSQL
Pandas
PySpark
Python
React
Apply Now
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