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Part Time Data Engineer 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 ... Description: Our client is seeking a Data Engineer to support the development of a new pilot ...

New

Maarut

CA$70 - CA$75/hr

Reverse-engineer existing Thunderhead data dictionaries, XML/JSON payloads, and routing logic to ... Based in or around Montreal, QC, with the ability to work in a hybrid model (part-time on-site ...

iSoftStone

Associate IT Support Engineer

Montreal, QC · Hybrid

CA$24 - CA$30/hr

This is a part-time (20 hours per week/4 hours per day) hybrid role* **Must possess valid legal ... Data Backup and Basic Security * Monitor daily data backup tasks and ensure effective disaster ...

New

iSoftStone

Associate IT Support Engineer

Montreal, QC · Hybrid

This is a part-time (20 hours per week/4 hours per day) hybrid role* **Must possess valid legal ... Data Backup and Basic Security * Monitor daily data backup tasks and ensure effective disaster ...

New

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

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All JobsPart Time Data Engineer JobsPart Time Data Engineer Jobs in Quebec

Part Time Data Engineer information

See Quebec salary details

$9

$38

$83

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

As of May 28, 2026, the average hourly pay for part time data engineer in Quebec is $38.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $60.10 per hour, depending on experience, location, and employer.

What is a Part Time Data Engineer job?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

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

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

What types of projects and responsibilities can I expect as a Part Time Data Engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.
More about Part Time Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Quebec? The most popular types of Data Engineer jobs in Quebec are:
What are popular job titles related to Part Time Data Engineer jobs in Quebec? For Part Time Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Part Time Data Engineer jobs in Quebec look for? The top searched job categories for Part Time Data Engineer jobs in Quebec are:
Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in Quebec as of May 2026, with employment types broken down into 87% Full Time, 5% Part Time, 2% Temporary, and 6% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $79,869 per year, or $38.4 per hour.

Data Engineer

Invictus Direct

Montreal, QC • Remote

$60 - $90/hr

Full-time, Part-time, Contractor

Posted 2 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.