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

Consultant Data Engineer Location: Remote Job Summary: We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can ...

Data Engineer and Generative AI/ML Specialist Skill Cluster/Practice: Data Engineering / Emerging Technologies (GenAI) We are seeking an innovative and results-driven Data Engineer and GenAI/ML ...

Data Engineer and Generative AI/ML Specialist Skill Cluster/Practice: Data Engineering / Emerging Technologies (GenAI) We are seeking an innovative and results-driven Data Engineer and GenAI/ML ...

Data Engineer

Toronto, ON · Hybrid

CA$80 - CA$90/hr

Data Engineer Location: Toronto, ON Hybrid: 1 day onsite per week Contract: May 2026 - May 2027 Rate: $80-90/hr We are looking for a Data Engineer to join a growing AI and analytics team focused on ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires ...

If you have experience in data engineering, and are looking for a new challenge, we would love to hear from you. Zurich Canada is currently looking for a Data Engineer to build, operate, and support ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

Tuesday, June 9th, 2026 (5:00PM EST) Job Overview As a Data Engineer, you will be responsible for building and supporting the data driven applications which enable innovative, customer centric ...

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations ...

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations ...

Data Engineer

Toronto, ON · On-site +1

CA$105K - CA$129K/yr

Active Databricks Data Engineer certification is mandatory. Key Responsibilities Design, develop, and maintain end-to-end data pipelines using Databricks and Apache Spark Build Lakehouse ...

We are seeking a Data Engineer to help design, build, and scale an enterprise data platform on Microsoft Fabric and complementary Azure data services . This role focuses on delivering highquality ...

We are seeking a Data Engineer with expertise in SQL, Python, DBT and RisingWave to join our modern data team. Responsibilities: * Design high-performance SQL pipelines across PostgreSQL, BigQuery ...

Data Engineer

Markham, ON · Hybrid

CA$60 - CA$100/hr

This Data Engineer role is a one-year contract, working on a hybrid in-office/remote model in the GTA. The compensation range is $60-$100/hr. Job Specs Build and maintain ETL pipelines for enterprise ...

Data Engineer

Mississauga, ON

CA$100K - CA$130K/yr

Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions * Share technical knowledge with coworkers and contribute to continuous ...

Our GFL team is expanding, and we are seeking a highly skilled Data Engineer with experience in designing and maintaining real-time data streaming pipelines and building robust data lake ...

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Weekend Data Engineer information

What are Weekend Data Engineers?

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 position?

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, and why are they important?

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:
Infographic showing various Weekend Data Engineer job openings in Toronto, ON as of May 2026, with employment types broken down into 3% Locum Tenens, 83% Full Time, 1% Part Time, 1% Temporary, 11% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Inizio Partners Corp

Toronto, ON • Remote

Full-time

Posted 16 days ago


Job description

Job Title: Consultant Data Engineer

Location: Remote

Job Summary:

We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can help with standing up our new GCP platform, working with data engineer.

Duties/Responsibilities:

  • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability
  • Implement frameworks, tooling, and automation to safely increase development velocity
  • Develop data pipelines, optimize pipelines, SQL or other data workflows from (1) source ingestion and preparation, (2) training and tuning and (3) downstream systems integration (EHR modules, micro-services, dashboards)

Required Skills:

  • Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling
  • Knowledge of dbt, PySpark, Glue , Terraform to support current infrastructure on AWS
  • Great to have experience setting up GCP infra : Iceberg, Dataplex, Terraform to help with initial steps of GCP migration project.
  • A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.

Education & Experience

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field
  • 5+ years of experience in data engineering, platform engineering, or ML engineering
  • Experience working with major cloud data platforms and tools:
  • Preferred experience:
  • Healthcare, behavioral health, EHR systems, and/or regulated industries
  • Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery