1

Weekend Data Engineer Jobs in Quebec (NOW HIRING)

Nous recherchons une personne pour rejoindre une equipe dynamique en tant qu' Ingenieur(e) Data pour l'un de nos clients. Ce poste est destine a un role d'ingenierie des donnees au sein de l'equipe ...

About You We're hiring a Senior Data Engineer for Data Insights in Montreal-someone with a Data as a Product mindset who builds production pipelines and models others can trust and reuse. You'll ...

Be Seen First

Data Platform Engineer

Montreal, QC · On-site

CA$65 - CA$67/hr

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git ...

Posted today

Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products. As a senior member of the team, you'll ...

Develop and maintain data transformation pipelines (ELT/ETL) in collaboration with Data Engineering teams. Actively participate in analytical architecture decisions (modeling choices, standards ...

Senior Data Developer Who We Are 2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global ...

Showing results 21-40

Weekend Data Engineer information

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
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 Weekend Data Engineer jobs in Quebec? For Weekend Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Quebec look for? The top searched job categories for Weekend Data Engineer jobs in Quebec are:
What cities in Quebec are hiring for Weekend Data Engineer jobs? Cities in Quebec with the most Weekend Data Engineer job openings:
Infographic showing various Weekend Data Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Confluence Technologies

Montreal, QC • Hybrid

Full-time

Re-posted 4 days ago


Job description

Location - Pittsburgh, Boston, Toronto or Montreal
 
Why Confluence? 

At Confluence, we've always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.
We're looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you'll take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.
You'll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable code.
Why Join Us?
  • Work on meaningful data challenges that have real business impact
  • Collaborate with a supportive and knowledgeable team
  • Opportunity to influence architecture and engineering standards
  • Grow your leadership skills through mentoring and project ownership

Applicants must be within a commutable distance (within 2 hours or 80 miles) of one of the listed offices.
Essential Experience
  • Solid Python experience in a data engineering environment
  • Advanced SQL skills and hands-on experience with Snowflake
  • Experience designing and running production-grade ETL pipelines at scale
  • Exposure to cloud platforms such as AWS, Azure, or GCP
  • Ability to take ownership of work end-to-end, from design through to deployment and monitoring
Nice to Have
  • Experience working with financial or regulated data environments
  • Familiarity with orchestration tools such as Airflow or AWS Step Functions
  • Exposure to streaming or near real-time data pipeline
Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:
Generous Time Off packages including additional half days with each public holiday in your location.
  Global Career Development opportunities
Social Events 
Referral Bonus scheme - Upto $3,000 per successful referral
  Plus many more!
 
More about the Location
We offer flexible working options for all employees.
 #LI-Hybrid
 
Values
We look for people who align with our 4 values. 
 
Integrity
Face reality with honesty, courage and accountability
Imagination
Deal creatively with challenges and envision what the world could be
Discipline
Build good habits into reflexes which become a part of our life
Service
Committed to the success of others

If you would like to find out more about a Career at Confluence, please apply today.
If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com.
Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.
Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.