Data Engineer (Healthcare)

Government Entity

Canada

On-site

CAD 90,000 - 120,000

Full time

14 days+

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Job summary

Government Entity in Canada is seeking an experienced data engineer or business intelligence developer with a minimum of ten years in IM/IT. The ideal candidate will have expertise in designing and operating data platforms that support enterprise reporting and analytics, specifically in a healthcare context. Responsibilities include implementing data security measures, collaborating with various stakeholders, and delivering robust BI solutions in agile environments.

Qualifications

  • Minimum of ten (10) years of progressive IM/IT experience.
  • Experience with data engineering and BI solutions in a cloud-based environment.
  • Familiarity with CIS data structures and reporting environments.

Responsibilities

  • Design and operate modern data platforms for enterprise reporting and analytics.
  • Implement data security and privacy controls aligned with healthcare regulations.
  • Collaborate with clinical, operational, and technical stakeholders.

Skills

Data engineering
Business intelligence solutions
Healthcare data management
Cloud environment
Agile/Scrum
Data security
Collaboration with stakeholders

Education

University degree in Information Technology, Health Informatics, Computer Science, or related discipline

Job description

University degree in Information Technology, Health Informatics, Computer Science,

or a related discipline, or an equivalent combination of relevant education and

professional experience.

A minimum of ten (10) years of progressive IM/IT experience, including significant

hands‑on responsibility for data engineer or business intelligence developer in a

cloud‑based environment, supporting enterprise reporting or analytics solutions.

Demonstrated experience working with healthcare data (hospital and/or

community), at a multi‑facility or enterprise level.

Demonstrated experience collaborating with clinical, operational, and technical

stakeholders to translate business needs into technically sound data

engineering or BI solutions.

Demonstrated experience designing, building, and operating modern data

platforms that support enterprise reporting and analytics, including data

warehouses or lakehouses using layered architectures (e.g., curated ingestion,

dimensional models).

Demonstrated experience working with CIS data structures and reporting

environments, with sufficient understanding of clinical workflows to accurately

interpret, validate, and troubleshoot data outputs.

Demonstrated ability to implement data security and privacy controls,

including role‑based access, data masking, encryption, auditing, and

privacy‑by‑design practices aligned with healthcare regulatory expectations.

Demonstrated experience delivering data engineering and BI solutions within

structured delivery environments (Agile/Scrum and/or Waterfall), clearly

articulating role, scope, and outcomes.

Demonstrated experience implementing data quality and reliability controls,

including validation rules, reconciliation checks, anomaly detection, and data

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