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Part Time Python Jobs in Ontario (NOW HIRING)

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Python) constituent un avantage et peuvent etre appliquees a des cas specifiques (en matiere de ...

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Part Time Python information

See Ontario salary details

$8

$40

$85

How much do part time python jobs pay per hour?

As of May 30, 2026, the average hourly pay for part time python in Ontario is $40.83, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $62.98 per hour, depending on experience, location, and employer.

What is a Part Time Python job?

A Part Time Python job involves working on Python-based tasks or projects for a limited number of hours per week, rather than full-time employment. These roles can include web development, data analysis, automation, scripting, or machine learning. Part-time Python jobs are ideal for students, freelancers, or professionals looking to supplement their income while maintaining flexibility. Opportunities can be found in various industries, including tech, finance, and healthcare.

What are the key skills and qualifications needed to thrive in the Part Time Python position, and why are they important?

To thrive as a Part Time Python developer, you should have a solid understanding of Python programming, experience with relevant frameworks (such as Django or Flask), and a background in software development or computer science. Familiarity with code versioning tools like Git, cloud platforms, and databases, as well as participation in coding bootcamps or holding certifications (like Python Institute PCEP/PCAP), is often beneficial. Strong problem-solving skills, effective communication, and the ability to work independently or remotely are key soft skills for part-time positions. These abilities ensure you can contribute effectively within limited hours, collaborate with diverse teams, and consistently deliver high-quality code.

What does a typical work schedule look like for a Part Time Python developer and how flexible is the role?

Part Time Python developer roles are often designed with flexibility in mind, accommodating students, freelancers, or professionals seeking supplementary income. Work hours can range from a few hours per day to certain days of the week, and many positions offer remote or hybrid options. While some employers may set core hours for team meetings or project check-ins, the bulk of the coding work can usually be completed on your own schedule. This flexibility allows you to balance other commitments while gaining valuable industry experience and building your programming portfolio.
What are the most commonly searched types of Python jobs in Ontario? The most popular types of Python jobs in Ontario are:
What are popular job titles related to Part Time Python jobs in Ontario? For Part Time Python jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Part Time Python jobs in Ontario look for? The top searched job categories for Part Time Python jobs in Ontario are:
Infographic showing various Part Time Python job openings in Ontario as of May 2026, with employment types broken down into 100% Part Time. Highlights an 33% In-person, 17% Hybrid, and 50% Remote job distribution, with an average salary of $84,934 per year, or $40.8 per hour.

APTPUO - Hiver 2027 - DVM 3570 A00

Uottawa

Ottawa, ON • On-site

CA$239.47/hr

Part-time

PTO

Posted 29 days ago


Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculte des sciences sociales / Faculty of Social Sciences

Academic Unit:

Ecole de developpement international et mondialisation \\ School of International Development and Global Studies

Course Title:

Raisonnement quantitatif en developpement international

Course Code:

DVM3570

Section:

A00

Course Description:

DVM 3570 Raisonnement quantitatif en developpement international (3 credits)
Introduction a l'utilisation des donnees et a l'analyse statistique de base en developpement international. Vue d'ensemble des donnees, des sources de donnees et des mesures quantitatives de base du developpement: ratios, pourcentages, indices (par exemple, l'indice de developpement humain et ses variantes); mesures du revenu national, des inegalites, de la pauvrete; et des indicateurs de base relatifs a la demographie, la sante, l'education et l'environnement. Introduction aux statistiques descriptives, aux statistiques inferentielles de base et aux techniques de base de representation de donnees (principalement a l'aide d'Excel).
Volet : Cours magistral
Prealables: SCS 2550, DVM 2505, DVM 2506. Les cours DVM 3570, SOC 3542 ne peuvent etre combines pour l'obtention de credits.
Horaire du cours:
Mardi : 8:30-9:50 et Vendredi: 10:00-11:20
*** Veuillez noter que ce cours sera donne en personne ***

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/01

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

2026/06/01

Expected Enrolment:

88

Approval date:

2026/05/01

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:

B

Posting type:

Regulier / Regular

Language of instruction:

Francais | French

Competence in second language:

N/A

Course Schedule:

Mardi | Tuesday 8:30-10:00 Vendredi | Friday 10:00-11:30 -

Requirements:

La priorite sera accordee aux candidat.es qui maitrisent les fonctions d'analyse statistique de base d'Excel, qui sont familier.eres avec differentes sources en lien avec le developpement (tant au niveau national qu'au niveau des enquetes), ainsi qu'avec les debats entourant les indicateurs de revenu national, de pauvrete, les inegalites et d'autres dimensions du developpement. Des capacites plus avancees en codage ou en analyse statistique (comme la connaissance des SIG ou de logiciels libres tels que R ou Python) constituent un avantage et peuvent etre appliquees a des cas specifiques (en matiere de visualisation des donnees par exemple).

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.