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Weekend Data Engineer Jobs in Toronto, ON (NOW HIRING)

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Data Engineer Resume Due Date: Monday, July 27th, 2026 (5:00PM EST) Number of Vacancies: 2 Level: MP4, $80/hr - $95/hr INC Duration: 11 Months Hours of work: 35 hours Location: 1908 Colonel Sam Drive ...

The Intermediate Data Engineer is highly motivated and experienced; responsible for designing, building and maintaining highly scalable and robust data solutions for our global operations. The role ...

This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses. You'll be responsible for designing, building, and ...

This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses. You'll be responsible for designing, building, and ...

Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? Come join us! Global Functions Technology (GFT) partners ...

Senior Data Engineer

Toronto, ON · On-site

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a Senior Data Engineers to join their Data & Analytics team within the Wealth Technology group . We are ...

Data Engineer II

Toronto, ON

CA$81K - CA$115K/yr

  • Medical

  • Retirement

  • PTO

Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and ...

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Data Engineer 25-0167 Resume Due Date: Tuesday June 9th 2026 (5:00PM EST) Number of Vacancies: 1 Level: $75 -$95/hr INC Duration: 12 Hours of work: 35 Location: 1985 Colonel Sam Drive, Oshawa (Hybrid ...

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

People You will join a close-knit group of data engineers and analysts who take real ownership of what they build. We value people who dig into problems end to end, recognize each other ...

Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement. Traditional cross-border payments ...

Cloud Developer - Architecture Location PCS CA~TORONTO Years of Experience 5-7 Years Job Summary We are seeking a skilled Cloud Developer with a strong focus on architecture to join our team. The ...

Data Scientist (AI & Data Engineering) - External Data & Intelligent Insights Location Toronto, ON (Hybrid) Role Summary Our client is a global real estate investor, developer, and manager connects ...

Cloud Developer - Architecture Location PCS CA~TORONTO Years of Experience 5-7 Years Job Summary We are seeking a skilled Cloud Developer with a strong focus on architecture to join our team. The ...

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month Contract Pay Rate:up to $100 INC p/h -- We have a great new opportunity to support one of our ...

Senior Data Engineer

Oakville, ON · Hybrid

CA$127K - CA$155K/yr

The Opportunity Senior Data Engineers are the builders for the business. You are recruited early ... EunafierDays Twice a year, you get an extra day tacked onto a long weekend. Simple reason: people ...

Showing results 41-60

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 Toronto, ON?

The most popular types of Data Engineer jobs in Toronto, ON are:

What job categories do people searching Weekend Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Weekend Data Engineer jobs in Toronto, ON are:

GenAI Data Engineer

Tiger Analytics Inc.

Toronto, ON • Remote

Full-time

Re-posted 17 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

  • Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP.
  • Leverage Snowflake’s unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable.
  • Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
  • Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
  • Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.