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Data Processing Jobs in Ontario (NOW HIRING)

Manulife

Winter Co-op 2027 - Data Engineering

Toronto, ON · Hybrid

CA$52K - CA$70K/yr

You'll receive guidance from experienced engineers while gaining exposure to data architecture, data processing, and analytics workflows in an enterprise environment. We are currently looking for a ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON

CA$90K - CA$120K/yr

Implement distributed data processing solutions using technologies such as Spark, Kafka, and cloud-native services. Ensure data integrity, reliability, and high availability in mission-critical ...

Lyft

Data Engineer

Toronto, ON

Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft * Evolve data model and data schema based on business and engineering needs

Citi

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

Design and implement ETL/ELT solutions including staging frameworks, incremental processing, data reconciliation, and error handling. Develop and maintain logical and physical data models to support ...

JLL

Data Engineer 2

Toronto, ON · On-site

Strong problem-solving skills and ability to analyze complex data processing issues Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams Attention ...

Citi

Senior Data Engineer - Python

Mississauga, ON

CA$120K - CA$170K/yr

Design and implement ETL/ELT solutions including staging frameworks, incremental processing, data reconciliation, and error handling. * Develop and maintain logical and physical data models to ...

Morson Talent

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Fluent in creating data processing frameworks using Python, PySpark, SparkSQL and SQL Experience with Azure Data Factory, ADLS, Synapse Analytics and Databricks Experience building data pipelines for ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

Fluent in creating data processing frameworks using Python, PySpark, SparkSOL and SQL Experience with Azure Data Factory, ADLS, Synapse Analytics and Databricks Experience building data pipelines for ...

Tabby LLC

Integration new tools for data processing and data storing; * 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer; * Experience in developing high-load and scalable data ...

EBC Inc.

Perform reality capture and point cloud processing using industry\-standard software. \n \n \n ... Process survey data, including point clouds using Trimble Business Center (TBC). \n \n \n * Conduct ...

TheAppLabb

Data Engineer

Toronto, ON · On-site

Work with APIs, streaming data, and batch processing to consolidate data from multiple sources. · Performance & Scalability: Monitor, troubleshoot, and improve data systems for speed and reliability ...

The App Labb

Data Engineer

Toronto, ON · On-site

Integration & Processing: Work with APIs, streaming data, and batch processing to consolidate data from multiple sources. Performance & Scalability: Monitor, troubleshoot, and improve data systems ...

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All JobsData Processing JobsData Processing Jobs in Ontario

Data Processing information

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How much do data processing jobs pay per hour?

As of Sep 13, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $30,172 per year, or $14.5 per hour.

Winter Co-op 2027 - Data Engineering

Toronto, ON • Hybrid

Manulife
See more jobs at Manulifeexternal

CA$52K - CA$70K/yr

Full-time

Posted 13 days ago

Key responsibilities

  • Support the development and maintenance of data pipelines and workflows.

  • Assist with data ingestion, transformation, and preparation for reporting and analytics use cases.

  • Contribute to a team of data engineers focused on building reliable, scalable data systems.

Job description

At Manulife John Hancock, we believe in investing in the future - starting with you. Our Technology Co-op Program is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark. Our co-op program offers more than just experience; you'll join a vibrant community, participate in engaging events, and benefit from personalized mentorship.

As a Data Engineer Co-op, you'll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You'll work with modern data tools and platforms to design, build, and optimize scalable data pipelines and workflows, helping transform raw data into meaningful, actionable information. Join a supportive team and experience a values-first culture where your career development and well-being are prioritized alongside your job impact. We offer multiple roles within this program, providing support from our diverse, passionate, and talented technology teams. You'll receive guidance from experienced engineers while gaining exposure to data architecture, data processing, and analytics workflows in an enterprise environment.

We are currently looking for a highly motivated student to join us in our Toronto, Ontario, Canada office for a 4-month co-op, running from January 5th - April 22nd2027. This is a hybrid position, where you are expected to be in the office Tuesday-Thursday, with the opportunity to work remotely on Mondays and Fridays.

Position Responsibilities:

  • Contribute to a team of data engineers focused on building reliable, scalable data systems

  • Support the development and maintenance of data pipelines and workflows

  • Assist with data ingestion, transformation, and preparation for reporting and analytics use cases

  • Collaborate with engineering and business teams to understand data requirements and support solutions

Required Qualifications:

  • Currently pursuing an undergraduate degree in Computer Science, Engineering, or a related field

  • Experience with SQL and at least one programming language (e.g., Python, Java)

  • Interest in data engineering concepts, including data pipelines and data processing

  • Familiarity with version control systems (e.g., Git, Bitbucket)

  • Strong communication skills and willingness to learn in a collaborative environment

Preferred Qualifications:

  • Exposure to data tools (e.g., Spark, Databricks, or similar technologies)

  • Basic understanding of ETL processes, data modeling, or data warehousing

  • Familiarity with cloud environments (e.g., AWS, Azure, or Google Cloud)

  • Understanding of large-scale data processing concepts

When you join our team:

  • We'll empower you to learn and grow the career you want.

  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

  • As part of our global team, we'll support you in shaping the future you want to see.

  • As part of our co-op program, you will gain early access to Manulife John Hancock's premier early talent program, GRO, tailored to graduating students! This program is designed to launch your career with the support, structure, and opportunities you need to thrive.

Application instructions:

  • Submit your resume, cover letter, academic transcript, and work term evaluation (if any) in one PDF file.

Please note the salary range is expected to be between $52,650 CAD to $70,200 CAD.

The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. The annual salary will be pro-rated based on the length of the work-term

#LI-Hybrid

This posting supports an ongoing hiring initiative for existing and/or future vacancies.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

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