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Data Visualization Engineer Jobs in Ontario (NOW HIRING)

... data engineering teams to validate data pipelines, troubleshoot discrepancies, and ensure data ... Researches and applies continuous improvement in data visualization by identifying trends and ...

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving ... AWS SageMaker - Visualization and reporting: Looker - Infrastructure: AWS ecosystem (S3, Lambda ...

Engineers on this team build the application our customers and internal teams use to configure ... Experience building dashboards, BI tools, reporting, analytics, or data visualization products.

Senior Data Engineer

Toronto, ON ยท On-site

CA$90K - CA$132K/yr

The Role: We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in ... Exposure to Tableau or other BI / data visualization tools . Base Salary Compensation Range $90,489 ...

Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops); * Data Visualization (e.g., matplotlib, seaborn, streamlit); * Optimization (e.g., optuna, katib, jmetalpy, GA); and,

About the team Engineers on this team build the application our customers and internal teams use to ... Define and standardize reusable frontend and data visualization patterns across the platform.

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Data Visualization Engineer information

See Ontario salary details

$74K

$139.1K

$195K

How much do data visualization engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data visualization engineer in Ontario is $139,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by data visualization engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

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

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

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

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

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

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

Infographic showing various Data Visualization Engineer 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 $139,104 per year, or $66.9 per hour.

Manager, Data Analytics

Toronto, ON โ€ข Hybrid

BMO Capital Markets
1 - 5K employees

Full-time

Medical, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Key responsibilities

  • Develop, maintain, and optimize reporting suites and dashboards across business units.

  • Design and execute measurement frameworks for marketing campaigns and analyze multi-channel performance.

  • Collaborate with teams to validate data pipelines, troubleshoot discrepancies, and ensure data integrity.


Job description

Application Deadline:

09/09/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a 12 month contract hybrid role in Toronto


Reporting & Dashboarding
Develop, maintain, and optimize standardized reporting suites and executive dashboards across key business units
Automate recurring reports using BI tools to improve efficiency and reduce manual intervention
Ensure consistency, accuracy, and traceability of KPIs across all reporting outputs


Campaign Measurement & Analytics
Design and execute measurement frameworks for marketing campaigns (e.g., attribution models, incrementality testing, ROI analysis)
Partner with Marketing, Product, and Digital teams to evaluate campaign effectiveness and provide actionable recommendations
Analyze multi-channel performance including email, paid media, web, and mobile channels
Data Management & Governance
Ensure adherence to internal data governance policies and external regulatory requirements (e.g., privacy, consent, and data usage standards)
Collaborate with data engineering teams to validate data pipelines, troubleshoot discrepancies, and ensure data integrity
Support audit processes by maintaining documentation and lineage of reporting logic
Insights & Storytelling
Translate complex datasets into clear, concise insights tailored for executive and non-technical audiences
Identify trends, risks, and opportunities to drive business growth and improve customer experience
Proactively recommend optimization strategies based on performance data
Stakeholder Management
Partner with cross-functional teams including Risk, Compliance, Finance, and Technology
Gather and document business requirements for reporting and measurement needs
Act as a subject matter expert for reporting methodologies and performance metrics

Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
  • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
  • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
  • Ensures alignment between values and behaviour that fosters diversity and inclusion.
  • Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
  • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
  • Attracts, retains, and enables the career development of top talent.
  • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Required
Bachelor's degree in Business, Analytics, Statistics, Economics, or related field
3-5+ years of experience in reporting, analytics, or measurement (preferably within financial services)
Strong proficiency in SQL and experience with large datasets
Hands-on experience with BI tools (e.g., Tableau, Power BI, Looker)
Solid understanding of campaign measurement methodologies (e.g., A/B testing, attribution models)
Advanced Excel skills (pivot tables, modeling, data manipulation)
Preferred
Experience working within a regulated environment (e.g., banking, insurance, wealth management)
Familiarity with customer data platforms (CDPs) and marketing automation tools
Knowledge of statistical analysis tools (e.g., Python, R)
Understanding of privacy regulations (e.g., GDPR, PIPEDA)

Salary:

$69,000.00 - $129,000.00

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.