UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

www.uhn.ca

Union: Non-Union
Number of Vacancies: 1
New or Replacement Position: New
Site: Toronto General Hospital
Department: Data Engineering
Reports to: Senior Manager
Salary: $47.83 to $71.75 per hour
Hours: 37.5 hours per week
Status: Permanent Full-Time
Closing Date: November 25, 2026

Position Summary

The Technical Specialist work closely with other Business Intelligence (BI) Analyst and Developer, Data Engineers, Clinical/SME teams and Other Epic Application Team, this position is responsible for designing, developing, implementing, and maintaining scalable, reliable, and governed enterprise data solutions that support UHN's clinical, research, education, and enterprise operations. The role provides advanced technical expertise in data engineering, data integration, data transformation, data modelling, and performance optimization to enable the delivery of high-quality, reusable, and certified enterprise data assets.

Working within UHN's Data & Analytics Department, the Technical Specialist supports the development and ongoing evolution of Enterprise Intelligence Platform through Microsoft Fabric and other approved enterprise technologies. The position plays a critical role in implementing metadata-driven data pipelines, medallion data architecture, common data models, dimensional modelling, and standardized engineering practices.

The incumbent collaborates with Data Engineers, BI Developers, Data Architects, Data Analysts, governance teams, and clinical and operational stakeholders to translate business requirements into robust technical solutions that enable enterprise reporting, operational intelligence, advanced analytics, and AI.

Here’s what you get to do

• Strong proficiency in Python, including writing modular, reusable, and well-tested code. Experience with pandas, error handling, logging, and unit testing.
• Hands-on experience with PySpark and Spark SQL for large-scale data transformation and performance tuning.
• Advanced SQL skills (T-SQL and/or Spark SQL)
• Practical experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and OneLake.
• Proven ability to design and build end-to-end ETL/ELT processes, from source extraction through staging, transformation, and reporting layers.
• Strong understanding of dimensional modelling, including star schemas, fact and dimension tables, grain definition, and surrogate keys.
• Ability to define and enforce data quality rules for completeness, accuracy, consistency, validity, uniqueness, and timeliness.
• Experience ingesting data from REST APIs and SaaS platforms.
• Work closely with stakeholders, subject matter experts, and end-users to understand the reporting content requirements, and analyze the needs of data consumers;

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related discipline, or an equivalent combination of education and experience.
• Minimum 5 years of relevant experience in data engineering, software development, enterprise data integration, or data warehouse development.
• Demonstrated hands-on experience developing production-grade data solutions using Python, SQL, and modern data engineering technologies.
• Practical experience working with Microsoft Fabric and/or comparable enterprise cloud-based data platforms.
• Experience supporting complex enterprise datasets involving multiple source systems and business domains.
• Demonstrated ability to independently troubleshoot technical issues and deliver reliable, maintainable data solutions.
• Experience in a healthcare, hospital, academic health sciences, or similarly complex regulated environment is preferred.
• Familiarity with clinical data and healthcare information systems, such as Epic, HL7, FHIR, or other healthcare integration standards is preferred.
• Experience with Microsoft Azure services, including Azure SQL, Azure Data Factory, Azure Functions, and Azure DevOps is preferred.
• Knowledge of Informatica IDMC, enterprise metadata management, data cataloguing, and data lineage is preferred.
• Experience with Delta Lake, metadata-driven frameworks, and common data model implementation is preferred.
• Familiarity with Power BI semantic models and enterprise reporting architectures is preferred.
• Experience with real-time data ingestion, event-driven integration, or streaming frameworks is preferred.
• Relevant Microsoft certifications, such as Fabric Data Engineer Associate, or equivalent demonstrated expertise is preferred.

Why join UHN?

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.