PySpark Developer – Healthcare

Job Summary

We are looking for a highly experienced, hands-on PySpark Developer with strong practical experience in processing CCD/C-CDA clinical documents and building scalable healthcare data pipelines. The ideal candidate should have extensive experience developing and enhancing CCD/C-CDA parsers, extracting clinical information from XML documents, and integrating data from multiple EHR systems, healthcare vendors, and HIE platforms.

Required Technical Skills

Skill

Requirements

Python

Strong hands-on development

PySpark

Large-scale distributed data processing

CCD/C-CDA

Hands-on parsing and implementation experience

XML

XML parsing, schema handling and validation

Healthcare Data

Labs, Vitals, Medications, Allergies, Diagnoses, Procedures

EHR Integration

Epic, Cerner, Meditech and other vendors

SQL

Strong SQL and relational database experience

Clinical Terminologies

LOINC, SNOMED CT, ICD-10, CPT/HCPCS, RxNorm, CVX

Framework Design

Modular, reusable and configuration-driven architecture

Preferred Skills

• AWS services: S3, Lambda, Glue, ECS/Fargate, Step Functions, SQS/SNS and CloudWatch.
• Experience working with Epic, Cerner, Meditech, HIEs, or other clinical data sources.
• Healthcare payer, population health, and clinical quality reporting experience.
• Knowledge of HEDIS and NCQA standards is an advantage.

Candidate Profile – Must-Have Experience

The ideal candidate should have:

1. 10+ Years of overall IT experience.
2. Strong Python and PySpark development experience.
3. Hands-on experience developing or enhancing CCD/C-CDA parsers.
4. Strong understanding of healthcare clinical data and XML structures.
5. Experience integrating CCD documents from multiple EHR vendors.
6. Experience building scalable healthcare data ingestion and transformation pipelines.