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Data Processing Jobs in Ontario (NOW HIRING)

Scotiabank

Data Engineer

Toronto, ON

Develop ETL and ELT processes to ingest, transform, validate, and distribute structured, semi-structured, and unstructured data. * Build and optimise data pipelines using Azure cloud services ...

Comniscient Technologies LLC

CA$110K - CA$130K/yr

The Manager, Data Operations will lead people, processes, and hands-on technical work across core ETL workflows, automated client data feeds, data quality monitoring, metrics automation, dashboarding ...

GFL Environmental

Senior Data Engineer

Vaughan, ON · On-site

Implement and evolve data lake architecture to ensure efficient data storage, processing, and retrieval at scale. * Build and own end-to-end AI and ML workflows - including feature engineering, model ...

Air Canada

Crew Data Solutions Analyst

Toronto, ON

Experience with data warehousing, data modeling, and distributed data processing concepts. * Familiarity with cloud platforms and data services (e.g., Azure, AWS, or GCP). * Experience with big data ...

Tabby LLC

This role focuses on analytics, reporting, and process optimization , with exposure to automation and AI powered tools as part of everyday analytical work. Data Analysis & Insights * Analyze large ...

United Airlines

Data Engineer

Mississauga, ON · On-site

Monitor and control all phases of development process and analysis design construction testing and ... architecture data storage and fault tolerance mechanisms Experience with HDFS commands and ...

Clio

Data Migration Specialist

Toronto, ON · Hybrid

CA$62K - CA$84K/yr

This can range from exporting data, importing data, processing data and the cleansing of data. Extract, transform, and load are terms often used by the team. This team is a key part of our customer ...

United Airlines

Lead Data Engineer

Toronto, ON · On-site

... processes Experience in API-based integrations within data pipelines Strong programming experience in Java for data processing and support activities Roles & Responsibilities Provide end-to-end ...

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

This role is pivotal in driving data-driven decision-making across our B2B initiatives, with ... Experience working with distributed computing frameworks (e.g., Apache Spark) to process large ...

Acosta

Sr. Specialist, Data Reporting

Mississauga, ON · On-site

A key focus of this role is the transition from manual data processing and QA practices to automated, scalable workflows leveraging modern tools (e.g., KNIME, SQL Server, Power BI, Power Automate, AI ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · Hybrid

Design, build, and maintain scalable and efficient data pipelines to collect, process, and transform data from various sources into usable formats. * Integrate diverse data sources and formats ...

Moneris

Manager, Data Engineering

Toronto, ON · Hybrid

CA$124K - CA$160K/yr

Proficiency with SQL, NoSQL, and distributed data processing frameworks on cloud platforms (AWS, Azure, or GCP). * Programming and scripting proficiency in Python, Scala, or Java. * Demonstrated ...

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All JobsData Processing JobsData Processing Jobs in Ontario

Data Processing information

See Ontario salary details

$9

$14

$19

How much do data processing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data processing in Ontario is $14.51, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $17.07 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Ontario?

The most popular types of Data Processing jobs in Ontario are:

What are popular job titles related to Data Processing jobs in Ontario?

For Data Processing jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Ontario look for?

The top searched job categories for Data Processing jobs in Ontario are:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $30,172 per year, or $14.5 per hour.

Manager, Risk Data Analytics

BMO Capital Markets

Toronto, ON • On-site

CA$82K - CA$154K/yr

Full-time

Medical, Life, Retirement

Re-posted 3 days ago

Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

The Manager, Data Analytics is responsible for leading the development and delivery of advanced analytics, data quality, and reporting solutions to support risk management and regulatory requirements. The role leverages large-scale data, advanced analytics, and emerging technologies to generate actionable insights, improve data quality, and enable consistent, data-driven decision-making across the organization.

The incumbent will manage a team of analytics professionals, deliver scalable analytics solutions, and ensure alignment with enterprise data governance standards and regulatory expectations.

Translate business requirements into technical analytics solutions and scalable data processes.

  • Deliver insights and recommendations to support risk monitoring, portfolio analysis, and business strategy.
Data Quality & Governance Lead data quality initiatives including rule definition, monitoring, issue identification, and remediation.
  • Ensure adherence to enterprise data governance frameworks and support regulatory requirements (e.g., model monitoring, reporting accuracy).
  • Work closely with data providers and stakeholders to resolve data issues and improve data integrity.
Business & Stakeholder Engagement
  • Partner with business, product, and risk teams to support data-driven decision-making and planning.
  • Communicate complex analytical findings clearly to senior stakeholders through reporting and visualization.
  • Provide consulting support on analytics, reporting, and data quality challenges.
Team Leadership & Development
  • Lead and coach a team of data analysts and data scientists to deliver high-quality outcomes.
  • Set clear objectives, monitor performance, and support career development.
  • Foster a collaborative, high-performance culture aligned with BMO values and inclusion principles.
Innovation & Continuous Improvement
  • Identify opportunities to enhance analytics capabilities, automation, and efficiency.
  • Evaluate and adopt new tools, technologies, and methodologies to improve analytics and data processing.
  • Drive the transition from ad hoc analysis to scalable, production-ready analytics solutions.
QualificationsEducation & Experience
  • Typically 5-7+ years of experience in data analytics, data science, or risk analytics.
  • Experience in financial services, risk analytics, or regulatory reporting is highly preferred.
  • Post-secondary degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science).
Technical SkillsCore Skills
  • Strong analytical and problem-solving capabilities
  • Data-driven decision making and business insight generation
  • Data visualization (e.g., Power BI)
  • Programming (e.g., Python, SQL)
  • SAS only nice to have for legacy purposes not mandatory
  • Data wrangling, preprocessing, and ETL processes
Advanced / Preferred
  • Big data technologies and scalable data platforms
  • AI driven skills and predictive analytics (nice to have)
  • Data quality methodology and governance frameworks
  • Experience with risk data and model monitoring platforms
Leadership & Competencies
  • Strong communication and stakeholder management skills
  • Ability to influence decisions using data and insights
  • Proven experience managing and developing teams
  • Ability to operate independently and manage complex, non-routine work
Scope & Impact
  • Primary focus on business/group-level analytics delivery, with potential enterprise-wide impact.
  • Provides specialized technical and analytical support to drive business and regulatory outcomes.

Salary:

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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