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Job Title : Data Engineer - Clinical Data Experience
Location: TORONTO, Canada
Skill Cluster : DE-Python\_Full Stack (with SQL), Frameworks, DevOps.
Primary Skill : Python
Experience : 15 years
Job Description :
* We are looking for a hands-on Python / PySpark Developer with practical experience processing CCD/C-CDA clinical documents and building scalable healthcare data pipelines
Key Responsibilities
* Develop and enhance Python-based CCD/C-CDA parsing and clinical data processing solutions.
* Analyze raw CCD/C-CDA XML and extract clinical information such as demographics, encounters, diagnoses, medications, allergies, immunizations, vitals, labs, and procedures.
* Build reusable and scalable parsing logic that can support multiple EHRs, HIEs, vendors, and CCD variations.
* Onboard new CCD vendors into an existing framework with minimal vendor-specific code.
* Develop scalable data processing pipelines using Python and PySpark.
* Handle large numbers of files and large XML documents efficiently.
* Implement validation, error handling, logging, reconciliation, retry, and source-lineage capabilities.
* Troubleshoot missing, duplicate, malformed, or incorrectly interpreted clinical data.
* Optimize processing performance and support production incidents and root-cause analysis.
* Develop automated unit and regression tests to ensure new vendor changes do not impact existing integrations.
* Work with upstream providers and internal teams to resolve data-quality and clinical mapping issues.
Required Skills
* Strong hands-on Python development.
* Strong PySpark and large-scale data processing experience.
* Practical experience with XML parsing and CCD/C-CDA documents.
* Experience developing or significantly enhancing CCD/C-CDA parsers.
* Good understanding of clinical data domains such as Labs, Vitals, Problems, Medications, Immunizations, Allergies, Procedures, and Encounters.
* Experience handling different vendor/EHR implementations of CCD/C-CDA.
* Strong SQL and relational database experience.
* Experience with clinical terminology such as LOINC, SNOMED CT, ICD-10, CPT/HCPCS, RxNorm, and CVX.
* Experience designing modular, reusable, and configuration-driven solutions rather than vendor-specific hardcoded parsers.
Preferred Skills
* AWS experience including S3, Lambda, Glue, ECS/Fargate, Step Functions, SQS/SNS, CloudWatch, or similar services.
* Experience with Epic, Cerner, Meditech, HIEs, or other EHR/clinical data sources.
* Healthcare payer, population health, or clinical quality reporting experience.
* HEDIS / NCQA knowledge is an advantage but not mandatory