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Part Time Data Engineering Jobs in Quebec (NOW HIRING)

Invictus Direct

Data Engineer

Montreal, QC · Remote

$60 - $90/hr

Remote Schedule: Part-Time | 6-Month Contract (chance of renewal/moving permanent) Salary: $60/hr ... Qualifications: 3-5+ years of experience in data engineering, ETL development, or related backend ...

iSoftStone

Associate IT Support Engineer

Montreal, QC

CA$33 - CA$40/hr

This is a part-time (5 days per week/4 hours per day/20 hours per week) role which will be 100 ... Data Backup and Basic Security * Monitor daily data backup tasks and ensure effective disaster ...

R2i

IBM i Programmer Analyst

Montreal, QC · On-site +1

For more than 10 years, 3 Canadian data centers have emerged, where Edwin, our 100% Canadian cloud ... A flexible schedule part time and a great work\/life balance. \n * The ability to work remotely. \n

Ville de Pointe-Claire

... (part time) - Open to internal and external applicants Department mission To ensure the integrity ... Performs and/or verifies, using established and accurate data, calculations for billing, estimated ...

Ville de Pointe-Claire

... (part time) - Open to internal and external applicants Department mission To ensure the integrity ... Performs and/or verifies, using established and accurate data, calculations for billing, estimated ...

Ville de Pointe-Claire

... (part time) - Open to internal and external applicants Department mission To ensure the integrity ... Performs and/or verifies, using established and accurate data, calculations for billing, estimated ...

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

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.

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 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 are the most commonly searched types of Data Engineering jobs in Quebec? The most popular types of 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 May 2026, with employment types broken down into 1% As Needed, 62% Full Time, 34% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Data Engineer

Invictus Direct

Montreal, QC • Remote

$60 - $90/hr

Full-time, Part-time, Contractor

Posted 14 days ago

Job description

Location: Remote

Schedule: Part-Time | 6-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.