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Technical Specialist, Techna (Data Engineer)

University Health Network uhn.ca Open
On-site Toronto Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at University Health Network. Toronto · full-time · CA$91,767–CA$137,612 base.

SalaryStated by University Health Network
CA$91,767 – CA$137,612
Base salary for this role, in CAD per year, as published in the posting.
This role, from University Health NetworkOur estimate for the market: CA$90,000–CA$121,500Median CA$105,850
The range includes the market median of CA$105,850 for mid-level data engineering roles in Toronto.
Worked out from 33 postings that stated pay, median CA$105,850. Last updated Nov 3, 2026.
RoleData Engineering
SeniorityMid-level
LocationToronto
WorkplaceOn-site
EmploymentFull-time
Base payCA$91,767–CA$137,612
PostedNov 2, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain REDCap projects, research instruments, data dictionaries and connections for clinical and multi-site studies
  • Move clinical and research information from multiple systems into usable datasets, adding checks to catch quality problems
  • Manage research data from modelling and curation through documentation, harmonization, quality review and secure access
  • Turn research needs into technical plans, then update stakeholders on progress, risks and results
  • Improve prototypes and system processes while maintaining access controls and supporting privacy and REB requirements

What you bring

  • A relevant undergraduate degree in computer science, health informatics, health science or a related discipline
  • At least five years of relevant work, including complex projects handled with limited supervision
  • Health or academic research data experience, including secure handling, curation and quality assurance
  • Hands-on REDCap experience covering project setup, instruments, access management and system integrations
  • Experience building data models and maintaining ETL pipelines that draw from multiple source systems

Who this fits

This mid-level role suits someone comfortable owning complex, sometimes unclear technical work and collaborating with researchers, clinicians and technical teams. You’ll also mentor teammates and explain project progress and risks to both technical and non-technical audiences. The position is based onsite in Toronto, with a Monday-to-Friday schedule.

From the employer

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: TECHNA
Reports to: Project Director
Salary Range: $ 91,767 - $137,612 per annum
Hours: 37.5 Hours Per Week
Shifts: Monday to Friday
Status: Permanent Full-Time
Closing Date: November 6, 2026

Position Summary

This is a challenging, impactful, and highly collaborative position. You will be working as part of the Data Science and Health Informatics Research teams that sit at the intersection of FAIR data management and machine learning and are responsible for developing innovative health data applications and tools. You will actively solve novel problems, make improvements, and troubleshoot independently and with your team.

You will be responsible for the technical design, development, and delivery of research data solutions, including REDCap projects and integrations, data management workflows, and extract, transform, and load (ETL) pipelines that bring data from multiple clinical and research sources into analysis-ready form. You will share your expertise with, and mentor, other members of the team, and will be viewed as a go-to resource for complex or ambiguous technical problems.

You will be working with Software Developers, Architects, Business Analysts, Designers, Managers, and research stakeholders to ensure the success of your project portfolio, with a premier focus on correctness, data quality, and innovation. This role requires experience using a range of technologies and frameworks to create innovative healthcare solutions. You will work on novel health technologies that help accelerate research, including health data interoperability platforms and integrated predictive models.

You will be working within a dynamic team and will learn and adapt rapidly while working in Agile mode.

Duties

  • Design, build, test, and maintain REDCap projects, instruments, data dictionaries, and integrations to support clinical research and multi-site studies
  • Develop and maintain ETL processes for research and clinical data from multiple source systems, with validation and quality checks at each stage
  • Oversee research data management activities, including data modelling, curation, harmonization, documentation, quality assurance, and secure access
  • Translate research and business needs into technical requirements, specifications, and related documentation
  • Conduct complex projects requiring specialized knowledge, with a mid- to long-term focus, and make well-reasoned decisions on complex or ambiguous issues
  • Engage and manage stakeholders, including principal investigators, research coordinators, clinicians, and data custodians, to gather requirements, set expectations, and resolve issues early
  • Communicate and present project progress, risks, and outcomes to stakeholders, tailoring the message to technical and non-technical audiences
  • Develop and evaluate prototypes, and recommend improvements to system performance and processes
  • Provide and maintain appropriate security and access controls, and support compliance with privacy, REB, and institutional data requirements
  • Collaborate with research programs, principal investigators, and other stakeholders in enabling research and optimizing clinical care at UHN and partner organizations
  • Undergraduate degree, or recognized equivalent, in Computer Science, Health Informatics, Health Science, or a related field
  • At minimum, five (5) years of relevant experience, with a demonstrated track record of working with minimal supervision on complex projects
  • Demonstrated experience working with research data in a health, clinical, or academic research environment, including data collection, curation, quality assurance, and secure handling of sensitive data
  • Demonstrated experience with the REDCap system, including project build, data dictionary design, survey and instrument configuration, user and access management, and API or external system integration
  • Demonstrated experience in data management, including data modelling, data dictionaries, metadata, data harmonization, and documentation
  • Demonstrated experience designing, building, and maintaining ETL processes and data pipelines across multiple source systems
  • Demonstrated experience in stakeholder engagement and management, including working directly with researchers, clinicians, and technical teams to gather requirements, manage expectations, and drive agreement
  • Experience working directly with highly technical stakeholders, and a proven track record in bringing clarity to a complex domain
  • Demonstrated experience supporting complex research and clinical environments
  • Familiarity with data-driven or AI-enabled initiatives in healthcare, and the ability to translate clinical or research needs into data and technology requirements
  • Working knowledge of regulatory and institutional requirements, including REB, Health Canada, or equivalent, is considered an asset
  • Experience in project management with familiarity with both Agile and Waterfall methodologies, and the ability to apply them where best suited
  • Strong communication skills and the ability to influence others, including cross-functional teams, to achieve outcomes over outputs
  • Experience with SQL, Python, Java, Oracle, Mongo, RDF, HL7, FHIR, Javascript, Angular an asset

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.