ZipRecruiter

Log In

1

Data Jobs in Quebec (NOW HIRING)

Invictus Direct

Data Engineer

Montreal, QC · Remote

$60 - $90/hr

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 ...

HollisWealth

Data Engineer

Quebec, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Industrial Alliance Pacific

Data Engineer

Montreal, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Industrial Alliance Pacific

Data Engineer

Quebec, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

HollisWealth

Data Engineer

Montreal, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Bounteous

Data Engineer

Montreal, QC

Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) * Ensure data protection measures are ...

Valnet Inc.

Data Scientist

Montreal, QC · On-site

Data Scientist Location: Onsite - Montreal Who we are: Valnet looking for a Data Scientist to join our Tech team. In this role, you will design and deploy AI systems that improve how a large-scale ...

Fed IT

Data Scientist

Montreal, QC · On-site

Mission Mission En tant que Data Scientist, vous serez responsable d'analyser et d'exploiter des données variées afin de concevoir des modèles prédictifs et des solutions analytiques répondant ...

Fed IT

Data Scientist

Montreal, QC

Mission Mission En tant que Data Scientist, vous serez responsable d'analyser et d'exploiter des données variées afin de concevoir des modèles prédictifs et des solutions analytiques répondant ...

Fed IT

Data Scientist

Montreal, QC

Mission Mission En tant que Data Scientist, vous serez responsable d'analyser et d'exploiter des données variées afin de concevoir des modèles prédictifs et des solutions analytiques répondant ...

Acuity Brands

Product Data Manager

Brossard, QC

Job Summary The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and ...

Bell Canada

Data Scientist II

Montreal, QC · Hybrid

Summary We are seeking a highly skilled and experienced Data Scientist II to join our team. The ideal candidate will possess a strong understanding of data science principles, advanced technical ...

Autodesk

Principal Data Scientist

Montreal, QC

CA$129K - CA$189K/yr

We are seeking a Principal Data Scientist to partner with multidisciplinary Visualization Solutions teams to define and evolve product analytics and applied AI practices. This role brings data ...

Desjardins Group

Analyst, Data valorization

Levis, QC · Hybrid

As a data analyst, you collect, process, analyze and use data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions.

TailorCare

Data Platform Architect

Montreal, QC · Hybrid

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the ...

Desjardins Group

Analyst, Data Valorization

Levis, QC · Hybrid

Are you passionate about data and want to join a dynamic and growing team? We're seeking a data valorization analyst to support the Operations Executive Division's sectors in delivering data and ...

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

We are seeking a data-driven, business-savvy Data Scientist to support our publishing businesses. Reporting directly to the Portfolio Manager, you will analyze audience behavior, content performance ...

next page

Showing results 1-20

All JobsData JobsData Jobs in Quebec

Data information

See Quebec salary details

$9

$33

$78

How much do data jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data in Quebec is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Quebec? The most popular types of Data jobs in Quebec are:
What are popular job titles related to Data jobs in Quebec? For Data jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data jobs in Quebec look for? The top searched job categories for Data jobs in Quebec are:
Data jobs near you
Infographic showing various Data job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Data Engineer

Invictus Direct

Montreal, QC • Remote

$60 - $90/hr

Full-time, Part-time, Contractor

Posted 11 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.