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Weekend Data Jobs in Toronto, ON (NOW HIRING)

SuiteSpot

Data Engineer

Toronto, ON · On-site

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 ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

  • Medical

  • Dental

  • Vision

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create ...

The App Labb

Data Engineer

Toronto, ON · On-site

We leverage data-driven insights to create transformative experiences for businesses worldwide. If you're passionate about building robust data infrastructure to power cutting-edge applications, this ...

Financeit

Data Engineer

Toronto, ON · On-site

  • Medical

  • Dental

  • Vision

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and ...

Scotiabank

Data Engineer

Toronto, ON · On-site

  • PTO

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 ...

Dentsu Aegis Network

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

  • Medical

  • Dental

  • PTO

We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients meet their quantifiable business goals every day ...

Lyft

Data Analyst

Toronto, ON

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

We're looking for a data & process-driven individual who has extraordinary attention to detail and a track record of analytical problem-solving. Responsibilities: * Support marketplace operations to ...

TMX Group

Data Engineer

Toronto, ON · Hybrid

The ideal candidate is an expert data pipeline builder and data wrangler who thrives on optimizing data systems and architecting them from the ground up. You are a self-directed professional ...

Clio

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 ...

Scotiabank

Data Engineer

Toronto, ON · On-site

  • PTO

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 ...

Lyft

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 ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

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 ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON

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 ...

Scotiabank

Data Engineer

Toronto, ON · On-site

  • PTO

Design, build, and maintain scalable data pipelines using Apache Spark, PySpark, Apache Beam, or Flink. * Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring ...

BMO Capital Markets

Data Engineer

Toronto, ON

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 ...

United Airlines

Data Engineer

Mississauga, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This provides a high-level review of the types of work performed Other job-related duties may be assigned as required In-depth understanding of HDFS architecture data storage and fault tolerance ...

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All JobsData JobsWeekend Data JobsWeekend Data Jobs in Toronto, ON

Weekend Data information

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

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

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the most commonly searched types of Data jobs in Toronto, ON?

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

Weekend Data jobs near you
Infographic showing various Weekend Data job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

SuiteSpot

Toronto, ON • On-site

Full-time

Posted 22 days ago

Job description

Who We Are
SuiteSpot is a PropTech company transforming how residential real estate is managed and operated at scale. Our award-winning Maintenance and Capital SaaS solutions serve the top 50 multifamily property management operators in North America, helping them streamline operations across hundreds of thousands of units.
We move fast, ship real solutions, and measure ourselves by customer outcomes. Our engineering team operates with high autonomy and direct customer impact. We live by P.I.E.—Passion, Integrity, and Execution—and look for people who do the same.
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 flowing into their own data lakes and warehouses, usually Snowflake. You'll build and maintain the customer-facing data model in Snowflake, set up data sharing into their environments, and develop the Power BI semantic models, reports, and dashboards embedded in our product.
Most of the work is in Snowflake and Power BI, with the occasional customer call to walk through schema questions or gather requirements.
You'll report into engineering and work closely with Customer Success, Delivery, and the product team.
What You'll Do

  • Snowflake Platform: Implement and maintain the customer-facing data model in Snowflake. Build the entities our customers consume, keep them versioned and documented, and roll out changes without breaking downstream consumers
  • Data Sharing and Exports: Design and operate data sharing from SuiteSpot into customer Snowflake environments, with external exports when needed
  • Power BI Development: Build Power BI semantic models, reports, and dashboards embedded in our product.
What You Bring
  • Snowflake: You've built and operated Snowflake workloads in production, including sharing, warehouses, streams and tasks, and resource monitors.
  • SQL: Strong fundamentals, comfortable with CTEs, window functions, and complex aggregations. You know when SQL is the right tool and when it isn't.
  • Data pipelines: You understand how operational data gets into a warehouse (CDC, backfills, schema evolution) well enough to participate in design conversations and propose changes at an architectural level. 
  • Power BI: Hands-on experience building reports and semantic models that real users depend on. You know your way around workspaces, deployment pipelines, and DAX.

Nice to Have

  • MongoDB or document-to-relational ETL experience
  • Programming beyond SQL. We work in TypeScript and Node.js, but Python or similar is fine.
  • Domain background in multifamily, real estate, or property management data
  • Some experience using Claude, Copilot, or similar AI tools in your workflow

Why this Role
Real impact. Enterprise customers depend on the data you ship. Improvements you make in Snowflake or Power BI show up in their day-to-day work immediately.
Technical breadth. You'll work across Snowflake, Power BI, and the data contracts in between, with visibility into how our operational stack feeds the warehouse.
Autonomy. We're a small team that moves fast. You'll own your area and help drive decisions on how our data processes evolve.
Growth path. This role leads naturally into deeper data platform work, analytics architecture, or technical leadership on the data side as we scale.
We offer competitive compensation, comprehensive benefits starting day one, and flexible remote work.
Hiring Process

  • Initial conversation with a Talent Advisor
  • Technical assessment focused on data modeling and pipeline design
  • Technical interview with the engineering team
  • Conversation with the CTO

SuiteSpot welcomes and encourages applications from people with disabilities. Should you require accommodations in any part of the interview process, please contact us at careers@suitespottechnology.com.
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