Health Data Engineer (Associate Consultant)
Core
Design and implement robust data models and analytical databases from raw/unstructured health data to support analytics, reporting, and operational processes.
Role type
Associate Consultant Health Data Engineer
Builds
Analytical databases, production-grade technical infrastructure, and automated data processing workflows for healthcare and life sciences clients.
Domain
Healthcare and Life Sciences
Required skills
SQL, Python, Azure Cloud Services (Data Factory, Databricks), SQL Server, ELT pipeline development, CI/CD pipelines, version control, data modeling, cloud architecture optimization.
Preferred skills
R programming, AI/LLM-based tooling, data quality frameworks, regulatory guidance for real-world health data.
Technologies
Azure, Azure Data Factory, Databricks, SQL Server, Azure DevOps, Git.
Responsibilities
Design and implement robust data models; Develop and maintain analytical databases; Automate and improve data processing workflows; Support cloud-based architecture in Azure; Work with multidisciplinary teams to translate analytical requirements into engineering solutions.
Seniority
Associate Consultant, hands-on IC with mentorship support.