Data Engineer (Python + React, Healthcare Domain)
Overview
We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.
What You’ll Do
- 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
Required Skills & Experience
- 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)
- 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
Preferred Experience
- 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
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-ben
efits
Base Compensation Range: 100
k-130k
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the p
rocess.