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Part Time Data Engineering Jobs in Quebec (NOW HIRING)

Invictus Direct

Data Engineer

Montreal, QC · Remote

$60 - $90/hr

Remote, must be based in Quebec Schedule: Part-Time | 3-Month Contract (chance of renewal/moving ... Qualifications: 3-5+ years of experience in data engineering, ETL development, or related backend ...

Maarut

CA$70 - CA$75/hr

A developer without this experience is only a viable option if paired part-time with a senior ... Advanced mastery of the PolicyCenter data model Desired: * Senior experience, autonomous in ...

Wawanesa Insurance

Salesforce Lead Developer

Quebec, QC · Hybrid

CA$100K - CA$130K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Implement Marketing Cloud journeys, automation logic, Contact Builder data models, Email Studio ...

Mcgill

Research Associate

Sherbrooke, QC · On-site

CA$35.37/hr

... Engineering. * A minimum of five peer-reviewed publications in data mining, machine learning, AI ... Hourly Salary: $35.37 Hours per Week: 9 (Part time) Location: Sherbrooke 680 Supervisor: Professor ...

Mcgill

Research Associate

Sherbrooke, QC · On-site

CA$35.37/hr

... Engineering. * A minimum of five peer-reviewed publications in data mining, machine learning, AI ... Hourly Salary: $35.37 Hours per Week: 9 (Part time) Location: Sherbrooke 680 Supervisor: Professor ...

Wilfrid Laurier University

CA$18.30 - CA$23.34/hr

Temporary (For Future Vacancies) Full-time/Part-time: Varying Campus: Milton (If you are also ... Data Entry/Analysis * Financial Administration * Human Resources * Information Technology Services

Hexion Careers

St Romuald, QC Part time support for: Moreau, NY Position Title: EHS Field Specialist Supervisor ... Data Analysis & Reporting * Track safety performance metrics and trends. * Prepare reports for ...

Hexion, Inc.

St Romuald, QC Part time support for: Moreau, NY Position Title: EHS Field Specialist Supervisor ... Data Analysis & Reporting * Track safety performance metrics and trends. * Prepare reports for ...

All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Quebec

Part Time Data Engineering information

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.

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 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.

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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in Quebec?

The most popular types of Data Engineering jobs in Quebec are:

What are popular job titles related to Part Time Data Engineering jobs in Quebec?

For Part Time Data Engineering jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Quebec look for?

The top searched job categories for Part Time Data Engineering jobs in Quebec are:

Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Quebec as of August 2026, with employment types broken down into 100% Part Time. Highlights an 72% In-person, and 28% Remote job distribution.

Data Engineer

Montreal, QC • Remote

Invictus Direct
See more jobs at Invictus Directexternal

$60 - $90/hr

Full-time, Part-time, Contractor

Posted 7 days ago

Job description

Location: Remote, must be based in Quebec 

Schedule: Part-Time | 3-Month Contract (chance of renewal/moving permanent)

Salary: $60/hr - $90/hr (based on experience)

Company:

Our client is a technology-focused consulting and solutions firm that helps organizations modernize operations through automation, systems integration, and data-driven workflows. Their team works closely with clients to design scalable digital infrastructure that improves visibility, efficiency, and cross-functional collaboration across business systems.

Description:

Our client is seeking a Data Engineer to support the development of a new pilot initiative focused on integrating live operational data across multiple platforms and systems. This role will play a key part in building the foundational data infrastructure required for reporting, workflow automation, and future AI-driven initiatives.

Design and develop ETL workflows to extract, clean, standardize, and map data across multiple operational platforms and third-party systems.

Build and maintain API integrations to connect business applications and centralize data across environments.

Develop and optimize database structures, data models, and SQL queries to support reporting, automation, and downstream analytics initiatives.

Prepare reliable datasets for dashboards, reconciliation processes, and future AI-related workflows.

Collaborate with a small distributed technical team on milestone planning, implementation, and solution design.

Participate in client-facing discussions and provide technical input when required.

Qualifications:

3-5+ years of experience in data engineering, ETL development, or related backend data infrastructure roles.

Strong experience with SQL, database design, data modeling, and API integrations.

Hands-on experience building and maintaining ETL pipelines across multiple systems and platforms.

Familiarity with PostgreSQL and workflow automation tools is preferred.

Experience with data warehousing, reporting, visualization, or automation platforms such as Make.com is considered an asset.

Strong communication skills and ability to work independently within a remote collaborative environment.