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Added 13 hours ago
KT
Data Engineer - Clinical Data Experience
Kaizen Technologies
Toronto, ON
- Contract
Skill Cluster : DE-Python_Full Stack (with SQL), Frameworks, DevOps.
Added 17 hours ago
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AB · BC · MB · NS · ON · QC
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Added 1 day ago
F
Senior Data Engineer
fb9e7da1-2660-46a2-9ffc-154a66684510
Toronto, ON
- $120,000 to $197,000 USD / year
- Full-time
- Hybrid
The work is customer-facing and high-stakes: customers run their businesses on numbers that come through our platform. We have a wide mandate and are hiring a senior engineer who wants to…

Kaizen Technologies

Data Engineer - Clinical Data Experience

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 14, 2026
Experience: Experience : 15 years
Posting language: English
Posted: Nov 14, 2026

Original job description

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

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More about this job

Responsibilities

Develop and enhance scalable Python and PySpark solutions to parse CCD/C-CDA documents and extract clinical data across vendors and EHR systems. Build reliable, reusable pipelines with validation, testing, error handling, lineage, and performance optimization, while resolving data-quality issues and supporting production operations.

Requirements

Requires strong hands-on Python, PySpark, SQL, XML parsing, and practical CCD/C-CDA parser development experience, along with knowledge of clinical data domains and varied EHR implementations. Experience with clinical terminology systems and modular, configuration-driven solutions is required; AWS and healthcare reporting experience are preferred.

Skills

Python
PySpark
SQL
XML Parsing
CCD/C-CDA
Clinical Data Processing
Healthcare Data Pipelines
Large-Scale Data Processing
Relational Databases
Clinical Terminologies
LOINC
SNOMED CT
ICD-10
CPT/HCPCS
RxNorm
CVX

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
XML
CCD
C-CDA
Clinical Data
Healthcare Data Pipelines
EHR
HIE
Data Parsing
Data Validation
Error Handling
Logging
Data Reconciliation
Source Lineage
Automated Testing
AWS
Amazon S3
AWS Lambda
AWS Glue
Amazon ECS
AWS Fargate
AWS Step Functions
Amazon SQS
Amazon SNS
Amazon CloudWatch
LOINC
SNOMED CT
ICD-10

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Work requirements

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