RQ00454 - DataOps/Cloud Data Engineer - Senior
Hybrid up to 2 days in office - 525 University Avenue
1-year contract - Starting January 2026
1 Openings - 1 Submission
Ontario Health - Strategy Planning Privacy & Analytics
Background Information
Ontario Health requires a Sr. Data Engineer to develop and operationalize analytics-ready data products that support priority projects and system planning needs. The resource will collaborate with analysts methodologists and data scientists to design build and optimize datasetsensuring data masking cohort logic and patient identification approaches are implemented securely and accurately. The Data Engineer will work across diverse domain assets and data structures adapt pipelines for performance and scalability and partner with Data Architecture ETL and IT Operations to move solutions from sandbox to production.
The resource will be critical to support the delivery of the successful design and implementation of the CCSO data collection analysis and reporting activities within the Ontario Health analytic infrastructure; being transitioned from UHN and ultimately being retired within UHN.
Responsibilities:
Collaborate with analysts and data scientists to develop fit-for-purpose data products.
Write and manage code for data masking cohort creation and patient identification algorithms.
Design and build analytics-ready data tables for specific use cases.
Optimize large datasets for performance processing and querying.
Work with diverse domain data assets and formats.
Partner with Data Architecture ETL and IT Operations to support sandboxes and operationalize data assets.
Apply modern data engineering practices for consistency scalability and reliability.
Communicate technical approaches and insights to stakeholders at all skill levels.
Make sound decisions when navigating complex or ambiguous data engineering issues.
Deliverables Include but are not limited to:
Reusable data transformation and data provisioning scripts
Analytics-ready data and information assets
Cohort creation and patient matching algorithms
Optimized SQL views and performance-tuned data structures
Technical documentation: data dictionaries lineage diagrams architecture notes data information sheets data and Information assets catalogue
Environment setup optimization and support
Reports and presentations for technical and non-technical stakeholders
Must Haves:
- 5 years of experience in using SQL Database design and Python.
- 5 years of experience with working knowledge of PowerBI
Nice to Have:
Desired skills:
- Familiarity with SAS and Informatica ETL tool
- Ontario Healthcare data privacy standards and policies
- Familiarity with Microsoft Azure product line
- Familiarity with Federal and provincial health care data
RQ00454 - DataOps/Cloud Data Engineer - Senior Hybrid up to 2 days in office - 525 University Avenue 1-year contract - Starting January 2026 1 Openings - 1 Submission Ontario Health - Strategy Planning Privacy & Analytics Background Information Ontario Health requires a Sr. Data Engineer to develop ...
RQ00454 - DataOps/Cloud Data Engineer - Senior
Hybrid up to 2 days in office - 525 University Avenue
1-year contract - Starting January 2026
1 Openings - 1 Submission
Ontario Health - Strategy Planning Privacy & Analytics
Background Information
Ontario Health requires a Sr. Data Engineer to develop and operationalize analytics-ready data products that support priority projects and system planning needs. The resource will collaborate with analysts methodologists and data scientists to design build and optimize datasetsensuring data masking cohort logic and patient identification approaches are implemented securely and accurately. The Data Engineer will work across diverse domain assets and data structures adapt pipelines for performance and scalability and partner with Data Architecture ETL and IT Operations to move solutions from sandbox to production.
The resource will be critical to support the delivery of the successful design and implementation of the CCSO data collection analysis and reporting activities within the Ontario Health analytic infrastructure; being transitioned from UHN and ultimately being retired within UHN.
Responsibilities:
Collaborate with analysts and data scientists to develop fit-for-purpose data products.
Write and manage code for data masking cohort creation and patient identification algorithms.
Design and build analytics-ready data tables for specific use cases.
Optimize large datasets for performance processing and querying.
Work with diverse domain data assets and formats.
Partner with Data Architecture ETL and IT Operations to support sandboxes and operationalize data assets.
Apply modern data engineering practices for consistency scalability and reliability.
Communicate technical approaches and insights to stakeholders at all skill levels.
Make sound decisions when navigating complex or ambiguous data engineering issues.
Deliverables Include but are not limited to:
Reusable data transformation and data provisioning scripts
Analytics-ready data and information assets
Cohort creation and patient matching algorithms
Optimized SQL views and performance-tuned data structures
Technical documentation: data dictionaries lineage diagrams architecture notes data information sheets data and Information assets catalogue
Environment setup optimization and support
Reports and presentations for technical and non-technical stakeholders
Must Haves:
- 5 years of experience in using SQL Database design and Python.
- 5 years of experience with working knowledge of PowerBI
Nice to Have:
Desired skills:
- Familiarity with SAS and Informatica ETL tool
- Ontario Healthcare data privacy standards and policies
- Familiarity with Microsoft Azure product line
- Familiarity with Federal and provincial health care data
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