Posting Reason: New Position Location: Main Campus Academic Period: 2026 Spring-Summer Semester Faculty: Faculté d'éducation / Faculty of Education Academic Unit: Études supérieures \\ Graduate Studies (Fac. Education) Course Title: Synthesis Seminar Course Code: EDU 5199 Section: DA10 Course Description: Integration of theoretical knowledge to contribute to educational practice. Start date : 5/4/2026 End date : 7/24/2026 Posting limited to: Professeur à temps-partiel étudiant / Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/04/21 Applications must be received BEFORE (YYYY/MM/DD): 2026/04/24 Expected Enrolment: 35 Approval date: 2026/04/21 Number of credits: 3 Work Hours: 39 Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31. These rates do not included vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Course type: C Posting type: Irrégulier / Irregular Language of instruction: Anglais | English Competence in second language: Passive Course Schedule: - - - IN: Asynchronous web-based course Requirements: PhD in education or a field of study related to the course Publications in the field of study within the last 5 years Expertise in this subject area Experienced in e-learning Additional Information and/or Comments: An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

Posting Reason: New Position Location: Main Campus Academic Period: 2026 Spring-Summer Semester Faculty: Faculté d'éducation / Faculty of Education Academic Unit: Études supérieures \\ Graduate Studies (Fac. Education) Course Title: Synthesis Seminar Course Code: EDU 5199 Section: DA20 Course Description: Integration of theoretical knowledge to contribute to educational practice. Start date : 5/4/2026 End date : 7/24/2026 Posting limited to: Professeur à temps-partiel étudiant / Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/04/21 Applications must be received BEFORE (YYYY/MM/DD): 2026/04/24 Expected Enrolment: 35 Approval date: 2026/04/21 Number of credits: 3 Work Hours: 39 Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31. These rates do not included vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Course type: C Posting type: Irrégulier / Irregular Language of instruction: Anglais | English Competence in second language: Passive Course Schedule: - - - IN: Asynchronous web-based course Requirements: PhD in education or a field of study related to the course Publications in the field of study within the last 5 years Expertise in this subject area Experienced in e-learning Additional Information and/or Comments: An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

Engineer, Data Job Code I55P01 FLSA Status Exempt Reports To Title # of Direct Reports Job Level Individual Contributor Last Updated Date 4/09/2026 12:02:01 PM I. Job Summary By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare. The Engineer II, Data is primarily responsible for building and operating reliable data integrations and data platform capabilities that move sensitive healthcare data securely and consistently. This includes creating new source ingestions feeds and interfaces; maintaining and troubleshooting existing interfaces; improving ingestion, validation, and monitoring; and partnering with stakeholders to deliver analytics, warehousing, and reporting solutions. This role also contributes to platform engineering practices by automating environments, standardizing deployments, and improving observability and reliability for data services. II. Job Competencies Valuing Differences - Works effectively with individuals of diverse cultures, interpersonal styles, abilities, motivations, or backgrounds; seeks out and uses unique abilities, insights, and ideas. Considers the collective. Collaboration - Works cooperatively within teams and partners with others, both internally and externally as needed, to achieve success; focuses on the results of the team, not the achievements of one person. It's "All for One and One for All" Accountability - Accepts personal responsibility and/or consequences of failure and successes, delivering on commitments and refocusing effort when needed. Someone who is willing to step up and own it. Time Management - Effectively manages personal time and resources to ensure that work is completed efficiently. Developing Trust - Gains others' confidence by acting with integrity and following through on commitments; treats others and their ideas with respect and supports them in the face of challenges. Takes Initiative - Takes prompt action to accomplish goals and achieve results beyond what is required; is proactive and pursues relentlessly. III. Essential Job Functions Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. Implement changes and enhancements in our internal flat file and message processing services Communicate with our clients and their technical stakeholders via meetings, calls, and emails regarding our data integration Assist other team members of the organization with data related inquiries and issues as they arise Automate and standardize data platform deployments using infrastructure as code and CI/CD to improve consistency, security, and release velocity Aid in the development and design of analytics projects as necessary like modifying reporting queries and creation of new data visualizations Create new data warehousing objects, views, procedures as needed to further streamline and enhance our reporting and visualization capabilities Discover opportunities for an organization to improve its systems, enterprises, and processes through the use of data analytics Maintain documentation related to datasets and analysis and ensuring that everyone on the data team uses the same language and definitions Consistently applies generative AI in day‑to‑day engineering work - using it to accelerate development, improve code quality, troubleshoot complex systems, and design scalable data solutions. This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Associates may be required to perform other job related duties as required by their supervisor, subject to reasonable accommodation. IV. Employment Qualifications Desired Work Experience Job Experience People Leadership Experience 3 to 5 Years NA Desired Education Education Level Preferred Area of Study Bachelors Degree or Equivalent Experience Computer Science Other Preferred Knowledge, Skills and Abilities • 2+ years of coding experience with Microsoft SQL • 1+ years working with big data technologies including but not limited to Databricks, Apache Spark, Python, Microsoft Azure (Data Factory, Dataflows, Azure Functions, Azure Service Bus) with a willingness and ability to learn new ones • Understanding of engineering fundamentals: testing automation, code reviews, telemetry, iterative delivery and DevOps • Experience with polyglot storage architectures including relational, columnar, key-value, graph or equivalent • Some experience with BI tools, preferably Power BI • Some experience with cloud-based infrastructure, preferably Microsoft Azure • Experience with infrastructure as code and configuration management (e.g., Terraform) and environment standardization • Familiarity with operational excellence practices such as incident response and runbooks • Understanding of security fundamentals for cloud platforms (identity and access management, secrets management, encryption, and audit logging) • Experience packaging and running services using containers and orchestration (e.g., Docker, Kubernetes) and/or serverless patterns • Experience with CI/CD, version control, and release automation for data pipelines and platform components (e.g., Azure DevOps/GitHub Actions) Exposure to AI tools for development, productivity, or operational automation • Very strong attention to detail IV. Working Conditions Environment Applicable Requires Long Distance or Air Travel No Requires Travel to Various Work Locations by Car No General Office Environment or Work From Home Yes Clinical Environment - (Exposure to common hazards present in a healthcare facility including but not limited to; blood and other infectious materials, latex products, physical altercations and verbal abuse, high noise levels, and bright lights) No

• Lead the design, development, and optimization of data pipelines using Databricks (including Delta Live Tables / Lakeflow) on Azure. • Migrate and refactor legacy stored procedures and sprawling MSSQL processes into modern, governed Databricks solutions. • Contribute to data platform modernization initiatives, including medallion architecture, data quality, and governance practices. • Collaborate with the client’s team and our Analytics Engineers to deliver high-quality, production-ready data assets. • Work in a client-facing consulting environment: gather requirements, provide recommendations, and professionally push back when needed to ensure the best technical outcomes. • Apply broad data engineering skills (pipelining, orchestration, cloud infrastructure) while deepening your expertise in the modern data stack.