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

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization-one of Scotiabank's most significant enterprise-wide strategic initiatives. This organization drives ...

Data Engineer

Toronto, ON

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC's Associate and AI Agent Platform . Your efforts will be critical to the reliability of ...

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

  • Medical

  • Dental

  • Vision

As a Data Engineer at Clio, you will build data pipelines from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new ...

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and maintaining data infrastructure and pipelines that enable scalable, data-driven outcomes. This role works ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

  • Medical

  • Retirement

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the data foundation that powers analytics, reporting, AI development, and operational decision-making ...

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will ...

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

Lead Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

  • Medical

  • Life

  • Retirement

Data Analytics & Reporting We are seeking a Lead Data Engineer with strong ETL and Application expertise to lead the enhancement of existing ETL applications and design modern ETL/ELT pipelines as ...

We are seeking a seasoned and motivated Big Data Engineer to join our growing Enterprise Data and Advanced Analytics Platform team. The ideal candidate is an expert data pipeline builder and data ...

Data Engineer

Toronto, ON · On-site

CA$70K - CA$80K/yr

  • Medical

  • Dental

  • PTO

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ingestion, modelling, and delivery of data from the advertising platforms our clients run on ...

The Role We're hiring a Data Engineer to build and maintain the data products our enterprise customers consume. Our customers run large multifamily portfolios and want SuiteSpot's operational data ...

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Hybrid Hadoop Engineer and Hadoop Infrastructure Administrator to build and maintain a scalable and resilient Big Data framework to support Data Scientists. As an administrator, your responsibility ...

Implement DataOps/DevOps best practices including CI/CD pipelines (Jenkins, Cloud Build), automated testing, and infrastructure-as-code using Terraform. * Perform data profiling, quality checks, and ...

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Toronto office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

Data Engineer

Toronto, ON · On-site

CA$61K - CA$113K/yr

  • Medical

  • Life

  • Retirement

Technology About the team Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely ...

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

  • Medical

  • Life

  • Retirement

About the Role We are seeking a skilled and motivated Data Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust data ...

Data Engineer

Mississauga, ON

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

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 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:

Data Engineer

Scotiabank

Toronto, ON • On-site

Full-time

PTO

Re-posted 12 days ago


Job description

Requisition ID: 261927 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization-one of Scotiabank's most significant enterprise-wide strategic initiatives. This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank.

Is this role right for you? In this role, you will:

  • You will design, build, and maintain scalable, resilient data pipelines to support the ingestion, processing, and distribution of large datasets.
  • You will leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving efficiency across the data engineering lifecycle.
  • You will partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform.
  • You will implement observability capabilities and continuously optimize application services and pipeline performance.
  • You will perform data integrity validation to ensure accuracy, reliability, and consistency of data.

 

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

  • Experience building data pipelines, and composable cloud-based data platforms (Azure), using Azure Data Factory, ADLS.
  • Experience working with Lakehouse platforms: Databricks, Unity Catalog, Auto Loader
  • Experience with data engineering, programming, ETL and ELT processes for data extraction and processing
  • Experience working with structured, semi-structured, and unstructured data.
  • Strong programming and scripting skills (SQL, Python, Java, Scala)
  • Strong knowledge of cloud infrastructure and microservices architecture
  • Experience in creating technical design documentations, both logical and physical view
  • Experience collaborating and working with DevOps, Scrum, and Product Teams
  • Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
  • Solid communication skills - ability to translate complex technical problems to business language
  • Experience in leading and driving technical discussions
  • Expert at problem solving and debugging
  • 4+ years of experience working with Data Warehouse / Data Platforms
  • 4+ years of experience creating ELT / ETL data pipelines, working with structured, semi-structured, and unstructured data
  • 4+ years of experience working on continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform
  • Must have 4+ years of experience in Cloud: Azure
  • Must have 4+ years of experience in Lakehouse: Databricks

 

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.  
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
  • Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.