Data Engineer with Python and React

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.