1

Data Processing Jobs in Ontario (NOW HIRING)

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 ...

You'll translate business and analytics needs into reliable technical solutions, supporting batch and near real-time data processing across complex environments. In this role, you'll drive ...

Senior Data Engineer

Toronto, ON · On-site

CA$149K - CA$170K/yr

Our environment centers on large-scale data processing, distributed systems, and backend services that need to perform reliably in production. You should be comfortable working with open data lake ...

Data Engineer

Toronto, ON · On-site

CA$85K - CA$135K/yr

Apache Spark (distributed data processing) * Snowflake or similar cloud data warehouses * Kafka or other streaming platforms * Airflow or similar orchestration tools * Kubernetes (container ...

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

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 ...

Data Architect

Toronto, ON · On-site

CA$110K - CA$140K/yr

Reporting to the Director, DQIM, the Data Architect provides expertise in data architecture, data governance, data processing, data security, and data modernization across ICES data environments. The ...

Support Group Intake Automation by translating business and operational requirements into backend workflows and data processes. * Contribute to BotData Enhancement, developing synthetic data ...

Data Engineering Specialist

Toronto, ON · Hybrid

CA$84K - CA$115K/yr

Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability. * Write and manage distributed data pipelines supporting both ...

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

Exposure to Databricks or otherlakehouseplatforms for large-scale data processing. * Prior experience at a media agency, ad-tech vendor, or in-house marketing data team. Additional information ...

Showing results 21-40

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:

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.

Senior Data Engineer

Atlantic Packaging Products Ltd

Toronto, ON • Hybrid

Full-time

Re-posted 5 days ago


Job description

“Join us in building Careers and shaping Experiences Beyond the Box”

About Us

At Atlantic Packaging, every box tells a story and yours begins here. As a proudly Canadian-owned company with over 80 years of excellence in the corrugated packaging industry with operations within North America (Ontario, Quebec and United States), we’re committed to sustainability, customer excellence and community impact. Since 1945, we’ve supported local jobs and built a legacy of trust with our clients and team members. At Atlantic, your ideas matter, your growth is supported and your work makes a real impact.

The Opportunity

We are seeking a Senior Data Engineer with strong expertise in SQL Server and SSIS to join our Data & Analytics team. This role is central to designing, building, and maintaining enterprise data pipelines and data warehouse solutions.

The successful applicant will ultimately be responsible for developing and administrating Databases across the organization, helping us build the data lake and transforming raw data from multiple source systems to create an Enterprise Datawarehouse and Data Lake. The Data Engineer would lead the efforts to help consolidate data via various sources to enable a robust reporting environment.

Location: Scarborough, Ontario (currently hybrid, 3 days in office)

What You’ll Do

ETL Development & Data Pipelines (Core Focus)

  • Design, develop, and maintain ETL pipelines using SQL Server Integration Services (SSIS)
  • Build and optimize data ingestion and transformation workflows from multiple source systems
  • Ensure efficient, scalable, and reliable data movement across the enterprise data platform
  • Analyze and improve existing ETL processes for performance, scalability, and maintainability

SQL Development & Data Processing

  • Develop complex SQL queries, stored procedures, and scripts to support data processing and transformation
  • Perform query optimization, indexing, and performance tuning on large datasets
  • Ensure data integrity, accuracy, and consistency across systems

Data Warehousing & Modeling

  • Design and implement data warehouse solutions using SQL Server
  • Develop and maintain dimensional data models (fact/dimension, star schema) to support reporting and analytics
  • Support the evolution of the enterprise data warehouse and data lake environment

Data Quality, Reliability & Operations

  • Implement data validation, error handling, and logging within ETL processes
  • Monitor and troubleshoot ETL jobs, identifying and resolving failures and performance issues
  • Ensure data is delivered accurately and on time to downstream systems

Data Governance & Security

  • Support data governance practices including data access controls, security, and compliance
  • Evaluate and improve authentication, authorization, and data protection mechanisms
  • Contribute to data documentation, lineage, and auditability

Collaboration & Delivery

  • Work with business stakeholders and analysts to translate requirements into technical solutions
  • Deliver high-quality, structured datasets to support reporting tools such as Power BI
  • Participate in planning, estimation, and prioritization of data engineering work

Engineering Practices

  • Maintain and improve technical documentation for ETL processes, data models, and systems
  • Use version control (Git) to manage code and changes
  • Identify opportunities to improve tools, frameworks, and processes within the data environment

What You'll Bring

Education & Experience

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 7+ years of experience in data engineering, ETL development, or data warehouse development

Core Technical Skills (Must-Have)

  • Strong expertise in SQL Server, including advanced SQL development
  • Hands-on experience with SQL Server Integration Services (SSIS) for building ETL pipelines
  • Experience developing stored procedures, complex queries, and performance tuning
  • Deep understanding of ETL/ELT processes and data pipeline architecture

Data Warehousing & Modeling

  • Strong understanding of data warehousing concepts and dimensional modeling
  • Experience designing and maintaining fact and dimension tables

Performance & Optimization

  • Experience with query optimization, indexing, partitioning, and large-scale data processing
  • Ability to troubleshoot and resolve performance bottlenecks in ETL and SQL workloads

Governance & Best Practices

  • Understanding of data quality, data governance, and data security principles
  • Experience implementing logging, validation, and monitoring in ETL workflows

Tools & Technologies

  • Experience with SQL Server ecosystem (SSIS, SSRS is a plus)
  • Familiarity with version control (Git)
  • Exposure to cloud platforms (Azure/AWS) or data lake environments is an asset

Nice to Have

  • Experience with Power BI or other reporting tools
  • Exposure to modern data engineering tools (e.g., Azure Data Factory, Databricks)
  • Experience in manufacturing, supply chain, or logistics environments
  • French language skills are an asset

What We Offer

  • Comprehensive health, dental and vision coverage (dependents included)
  • Teamwork-focused culture with sustainability initiatives and social events
  • A culture of appreciation through a point-based recognition
  • Opportunities for advancement and internal movement
  • Education assistance for continuous skill development
  • Academic scholarships for employees’ children
  • Safety equipment and PPE support program
  • Retirement savings and wellness initiatives
  • Employee Assistance Program (EAP)

Inclusion and Accessibility

Atlantic Packaging is committed to fostering an inclusive, accessible and respectful environment for all candidates. If you require accommodation during the hiring process, please contact our Talent Acquisition team—we’re here to support you.

We sincerely thank all applicants for their interest in joining Atlantic Packaging. While we appreciate the time and effort invested, only those selected for an interview will be contacted.

Please note

Candidates who are 18 years or older are required to complete a criminal and background check. Details will be provided through the application process.

Hiring Range: $93,300 - $116,600 per year. A candidate’s experience and knowledge may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy.