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Part Time Data Processing Jobs in Ontario (NOW HIRING)

Extendicare

CA$33.03 - CA$34.61/hr

Permanent Part-time position ( Guaranteed minimium 30 hours bi-weekly) ; Evening shifts Shifts ... Ifyou wouldlike more information about how your data is processed, please contact us. Extendicare ...

Extendicare

TEMPORARY CERTIFIED RESIDENT PROGRAM AIDE (Part-Time) - Extendicare Southwood Lakes Extendicare is ... Ifyou wouldlike more information about how your data is processed, please contact us. Extendicare ...

Extendicare

CA$27.48 - CA$29.09/hr

Permanent Part-Time position (Guaranteed 30 hours bi-weekly) ; Evening shifts Shifts defined ... Ifyou wouldlike more information about how your data is processed, please contact us. Extendicare ...

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All JobsData Processing JobsPart Time Data Processing JobsPart Time Data Processing Jobs in Ontario

Part Time Data Processing information

See Ontario salary details

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How much do part time data processing jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for part time data processing in Ontario is $20.64, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $20.43 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are part time data processing jobs?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are some common challenges faced in a part-time data processing role, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.
What are the most commonly searched types of Data Processing jobs in Ontario? The most popular types of Data Processing jobs in Ontario are:
What are popular job titles related to Part Time Data Processing jobs in Ontario? For Part Time Data Processing jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Part Time Data Processing jobs in Ontario look for? The top searched job categories for Part Time Data Processing jobs in Ontario are:
Part Time Data Processing jobs near you

APTPUO Part-Time Professor 2026 Fall CSI2110

Uottawa

Ottawa, ON • On-site

CA$239.47/hr

Part-time

PTO

Posted 3 days ago

Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de science informatique et de genie electrique \\ School of Electrical Engineering and Computer Science

Course Title:

Data Structures and Algorithms

Course Code:

CSI2110

Section:

A

Course Description:

The concept of abstract data types. Simple methods of complexity analysis. Trees. The search problem: balanced trees, binary-trees, hashing. Sorting. Graphs and simple graph algorithms: traversal, minimum spanning tree. Strings and pattern matching.

Posting limited to:

Professeur a temps partiel postdoctoral/ Postdoctoral Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/06

Applications must be received BEFORE (YYYY/MM/DD):

2026/06/07

Expected Enrolment:

50

Approval date:

2026/05/06

Number of credits:

3

Work Hours:

52

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:

B

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Mercredi | Wednesday 19:00-22:00 - -

Requirements:

Excellent knowledge of course subject matter, demonstrated by having taught similar or related courses, or demonstrated by relevant work experience. Regular applicants must have a doctorate and it should be in a field related to the course (especially in the case where the course is more specialized), if not, they must have a relevant work experience in a field related to the course, after having obtained their Ph.D.

Please note that the teaching method for this course will be delivered: IN PERSON.

The contract for this course will include a payment for 52 hours (instead of 39 hours), as it is required that the part-time professor teaching this course attends tutorials at least one hour per week (on average).

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.

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