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Data Engineer (Healthcare)

Summary

Designs and maintains cloud-based data pipelines and warehouses for healthcare analytics, ensuring secure, high-quality clinical and operational data for enterprise reporting.

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

See also