Healthcare Data QA Engineer-TI130825

emergiTEL

  • Canada
  • Contract
  • Full-time
  • 22 days ago
Job Description: This role is for a Healthcare Data QA Engineer focused on testing large-scale data pipelines that transform diverse healthcare data into FHIR R4–compliant resources using tools like PySpark, Flink, and Kafka.
You’ll validate both real-time (streaming) and batch processing systems, ensuring accuracy, compliance, and clinical relevance of the data. The position blends big data testing, healthcare domain knowledge, and cloud-based QA automation.Requirements:1. Type of Role
  • Backend Data QA (not UI/web testing)
  • Specialization in Big Data & Healthcare
  • Focus on data correctness, compliance, and performance
2. Core Responsibilities
  • Write and run test strategies for PySpark/Flink data transformations
  • Validate streaming jobs and batch jobs under different load conditions
  • Ensure FHIR R4 compliance with domain experts
  • Automate tests for ingestion, transformation, and output
  • Perform regression, schema evolution, and data migration testing
  • Conduct performance/load testing for big data pipelines
3. Must-Have Skills
  • Big Data & Streaming Testing: PySpark, Flink, Kafka
  • Healthcare Data Standards: FHIR R4 basics
  • Python Testing Tools: pytest, unittest, Great Expectations, Pandera
  • SQL for complex data validation
  • Familiarity with cloud platforms (AWS/GCP)
  • Knowledge of QA best practices (CI/CD, Git, TDD)
4. Nice-to-Have
  • Experience with FHIR/HL7, clinical terminologies (SNOMED, LOINC, ICD)
  • PyFlink testing, Flink SQL validation
  • Apache Iceberg or other data lake formats
  • Knowledge of healthcare compliance (HIPAA, PIPEDA)
  • Monitoring/observability tools (Datadog, GCP Monitoring)

emergiTEL