Senior Python Developer

EXL•Hartford, CT

7d•Hybrid

About The Position

EXL is seeking a highly motivated Backend Developer to build and enhance a Healthcare Data Quality Platform focused on evaluating, scoring, and onboarding clinical data from CCDA documents. The role works on a modern backend platform and is responsible for clinical document parsing, healthcare data quality analysis, secure data ingestion, and integration. The position is hybrid in Hartford, Connecticut, with a posted base salary range of $80,000–$90,000 plus bonus. The posted range is the hiring range across the national scale; final compensation depends on factors including skills and experience, internal pay equity, work location, market conditions, and role scope. Higher-cost locations may have compensation above the posted range.

Requirements

Bachelor’s degree in computer science, Mathematics, or a related field, or equivalent practical experience.
Minimum 5 years of experience in Python backend development, including production service design and deployment.
Experience owning system architecture decisions, including service boundaries, data model design, and API contracts.
Experience with FastAPI routers, Depends() injection, UploadFile handling, StreamingResponse, and StaticFiles for SPA serving.
Understanding of same-origin deployment.
Strong hands-on experience parsing XML with lxml.
Strong SQL experience.
Experience troubleshooting queries, including isolating poorly performing code, determining root causes, and developing remediation actions.
Knowledge of HIPAA compliance and data privacy standards.
Strong understanding of QA methodologies, test planning, and defect tracking.
Analytical mindset, attention to detail, and problem-solving skills.
Design-thinking skills and excellent verbal and written communication skills.

Nice To Haves

Knowledge and experience in US healthcare interoperability and HEDIS.
Experience handling CCDA / HL7 CDA R2 document structure.

Responsibilities

Design, develop, and maintain backend services using Python and FastAPI.
Build scalable APIs for healthcare data ingestion, processing, scoring, and reporting.
Develop and maintain REST endpoints supporting file uploads, data validation, and export capabilities.
Implement processing patterns, thread pools, and dependency injection.
Create reusable and maintainable code using Python best practices, type hints, and data-class-based models.
Develop and maintain CCDA parsing and data extraction capabilities.
Parse healthcare documents using lxml and XPath expressions.
Extract, analyze, and score clinical information.
Enhance data quality scoring algorithms and clinical coverage assessment logic.
Implement security and governance best practices.
Support healthcare interoperability and clinical data quality initiatives.