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Data Processing Jobs in Ontario (NOW HIRING)

Data Engineer

Mississauga, ON ยท Hybrid

CA$110K - CA$125K/yr

Manage and coordinate release processes for data pipelines and analytics solutions. * Monitor, troubleshoot, and optimize the performance of data systems. * Ensure compliance with data governance ...

Title and Summary Lead Data Scientist - R&D Overview We are looking for a talented Lead Data ... Maintains comprehensive technical documentation of models, processes, and methodologies to support ...

Experience working with cloud-based data and analytics environments, including platforms such as Google Cloud and Microsoft Azure, to support scalable data processing, model development, and ...

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 ...

Principal Data Scientist

Toronto, ON ยท On-site

CA$129K - CA$189K/yr

Develop processes to ingest, transform, and distribute data into internal systems and applications. * Partner with engineering and platform teams to[DD1]identify and resolve data quality issues.

Present insights clearly through reports and presentations tailored to diverse audiences Data Processing and Engineering Support (40%) * Partner closely with data engineers and data scientists to ...

Understanding of performance, capacity, cost trade-offs in data processing systems. * Experience diagnosing, mitigating, and addressing data system production issues at scale * Strong communication ...

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 ...

Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics * Organizational Leadership * Build, mentor, and lead a high-performing ...

Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics * Organizational Leadership * Build, mentor, and lead a high-performing ...

You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems. * You will collaborate with data scientists to design ...

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 ...

... in scalable data processing; familiarity with Spark is a plus Experience with writing clean ... modular, and well-documented code following Data Science best practices. Ability to collaborate ...

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 ...

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Data Processing information

See Ontario salary details

$9

$14

$19

How much do data processing jobs pay per hour?

As of Jul 4, 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 are the key skills and qualifications needed to thrive in the Data Processing position, 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 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 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 is a Data Processing job?

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.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
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:
Infographic showing various Data Processing job openings in Ontario as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $30,172 per year, or $14.5 per hour.
Data Engineer

Data Engineer

Synechron

Mississauga, ON โ€ข Hybrid

CA$110K - CA$125K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 19 hours ago


Job description

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.

Our challenge

We are seeking a skilled Data Engineer with expertise in Databricks, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support our banking operations and analytics.

Additional Information*

The base salary for this position will vary based on geography and other factors.In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $110k - CAD $125k/year & benefits (see below).

The Role

Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines using Databricks, Python, Pyspark, and SQL.
  • Write optimized and complex SQL queries to extract, transform, and load data.
  • Develop and implement data models, schemas, and architecture that support banking domain requirements.
  • Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
  • Automate data workflows and ensure data quality, accuracy, and integrity.
  • Manage and coordinate release processes for data pipelines and analytics solutions.
  • Monitor, troubleshoot, and optimize the performance of data systems.
  • Ensure compliance with data governance, security, and privacy standards within the banking domain.
  • Maintain documentation of data architecture, pipelines, and processes.
  • Stay updated with the latest industry trends and incorporate best practices.

Requirements:

  • Proven experience as a Data Engineer or in a similar role with a focus on Databricks, Python, Pyspark, and SQL.
  • Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake.
  • Hands-on experience with release management, deployment, and version control practices.
  • Solid understanding of banking and financial services industry data and compliance requirements.
  • Proficiency in Python scripting and Pyspark for data processing and automation.
  • Experience with ETL/ELT processes and tools.
  • Knowledge of data governance, security, and privacy standards.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Good Knowledge in Azure and Databricks in highly preferred.
  • Knowledge of Apache Kafka or other streaming technologies.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Prior experience working in the banking or financial services industry.

Preferred, but not required:

  • Detail-oriented, ability to turn deliverables around quickly with a high degree of accuracy
  • Strong analytical skills, ability to interpret business requirements and produce functional and technical design documents.
  • Good time management skills - Ability to prioritize and multi-task, handling multiple efforts at once.
  • Strong desire to understand and learn domain.
  • Experience in a financial services/banking industry
  • Ability to work in a fast-paced environment; to be flexible and learn quickly.
  • Ability to multi-task with attention to detail/ prioritize tasks.

We offer:

  • A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
  • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave(floating days and sick days).
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
  • Flexible hybrid policy.
  • RRSP with employer's contribution up to 4%.
  • A higher education certification policy.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
  • A truly diverse, fun-loving and global work culture.

SYNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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