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Part Time Data Engineering Jobs in Ontario (NOW HIRING)

Uottawa

APTPUO Winter 2027- MIA- 5126 (ONLINE)

Ottawa, ON · On-site

CA$239.47/hr

... Engineering Design and Teaching Innovation Course Title: ESNTL CONCEPTS IN DATA SC Course Code ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ...

Uottawa

APTPUO Fall 2026- MIA- (ONLINE)

Ottawa, ON · On-site

CA$239.47/hr

... Engineering Design and Teaching Innovation Course Title: ESNTL CONCEPTS IN DATA SC Course Code ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ...

Uottawa

APTPUO-Fall 2026 -MEM6287A (online)

Ottawa, ON

CA$239.47/hr

... School of Engineering Design and Teaching Innovation Course Title: Advanced Data Analytics ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

GEI Consultants

AI Engineer Intern/Co-op

Markham, ON · Hybrid

CA$24 - CA$28/hr

... Computer Engineering, Machine Intelligence, Data Science, or a related field. * Preferred ... This role is designed to support academic schedules with flexible part-time hours during academic ...

Baycrest

Research Programmer

Toronto, ON · Hybrid

CA$82/hr

Data entry and data correction. * Performs IT-Technician duties, as required, or as needs arise ... Negotiable part-time 3 days/week up to full-time 5 days/week. * Work will be on-site. * Possibility ...

Uottawa

APTPUO-Winter 2027-MEM5300 B (online)

Ottawa, ON · On-site

CA$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Knowledge of modern data analytics trends and use of visual programming tools in business ...

Uottawa

APTPUO-Fall 2026 -MEM6287B (online)

Ottawa, ON · On-site

CA$239.47/hr

... School of Engineering Design and Teaching Innovation Course Title: Advanced Data Analytics ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

Uottawa

APTPUO-Winter 2027 - SED1516

Ottawa, ON · On-site

CA$239.47/hr

... part-time professor to teach a course in an introduction data analytics and visualizations for students in the Bachelors of Multidisciplinary Design program in the Faculty of Engineering, with a ...

Clariti Cloud Inc.

Senior Software Engineer

Toronto, ON

CA$103K - CA$160K/yr

Deep expertise in Salesforce (Apex, LWC, APIs, security, limits, data modeling) * Hands-on ... Excitement about applying strong engineering fundamentals to both Salesforce and off-platform ...

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Part Time Data Engineering information

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
What are the most commonly searched types of Data Engineering jobs in Ontario? The most popular types of Data Engineering jobs in Ontario are:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Ontario as of June 2026, with employment types broken down into 79% Full Time, 16% Part Time, 3% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

APTPUO Winter 2027- MIA- 5126 (ONLINE)

Uottawa

Ottawa, ON • On-site

CA$239.47/hr

Part-time

PTO

Posted 11 days ago

Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation

Course Title:

ESNTL CONCEPTS IN DATA SC

Course Code:

MIA5126

Section:

A

Course Description:

Posting limited to:

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

Date Posted (YYYY/MM/DD):

2026/06/05

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

2026/07/06

Expected Enrolment:

30

Approval date:

2026/06/05

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:

Anglais | English

Competence in second language:

Active

Course Schedule:

Mardi | Tuesday 19:00-22:00 - -

Requirements:

Requirements
Ph.D. in DTI, Data Science, Computer Science, Statistics, Mathematics, or a closely related field with a strong focus on Data Science, analytics, or AI/ML.
Strong expertise in Data Science, including statistical modelling, machine learning, data visualization, descriptive and predictive analytics, and time series analysis, with applied experience in data engineering, data warehousing, big data analytics, and data workflows/pipelines.
Demonstrated industry experience applying Data Science techniques to real-world problems, including the development and deployment of data-driven solutions in practical or production environments.
Teaching experience in Data Science or related fields at the undergraduate and/or graduate level, with the ability to explain complex technical concepts to diverse student cohorts.
Hands-on experience with modern Data Science tools and technologies, including Python, SQL, Spark, ML frameworks, and cloud platforms such as AWS, Azure, or Google Cloud, as well as familiarity with distributed data storage and processing systems.
Proven data Science industry experience and demonstrated experience incorporating project-based or experiential learning approaches in teaching.

Additional Information and/or Comments:

The course is online

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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