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Part Time Database Jobs in Quebec (NOW HIRING)

Data Engineer

Montreal, QC · Remote

$60 - $90/hr

Remote Schedule: Part-Time | 6-Month Contract (chance of renewal/moving permanent) Salary: $60/hr ... Develop and optimize database structures, data models, and SQL queries to support reporting ...

... Database : DB2 for i; \n * Knowledge of Maestro ERP would be an asset; \n * Experience with XML ... A flexible schedule part time and a great work\/life balance. \n * The ability to work remotely. \n

Part Time Database information

What is the difference between Part Time Database vs Part Time Data Analyst?

AspectPart Time DatabasePart Time Data Analyst
Required CredentialsDatabase certifications (e.g., Microsoft SQL Server, Oracle)Data analysis certifications (e.g., Microsoft Excel, Tableau)
Work EnvironmentDatabase management systems, server environmentsData visualization tools, reporting platforms
Employer & Industry UsageIT departments, tech companies, data-driven organizationsMarketing, finance, consulting firms

Part Time Database roles focus on managing, maintaining, and optimizing databases, requiring technical certifications and working within IT environments. Part Time Data Analysts interpret data, create reports, and support decision-making, often using analytical tools. While both roles involve working with data, their responsibilities and skill sets differ significantly, making them distinct career paths.

What are the most commonly searched types of Database jobs in Quebec? The most popular types of Database jobs in Quebec are:
Infographic showing various Part Time Database job openings in Quebec as of July 2026, with employment types broken down into 88% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Engineer

Invictus Direct

Montreal, QC • Remote

$60 - $90/hr

Full-time, Part-time, Contractor

Re-posted 23 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.