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Data Visualization Engineer Jobs in Ontario (NOW HIRING)

Advanced understanding of programming, statistics, machine learning, exploratory data analysis, data visualization, model production, insight generation, and data wrangling. * Deep knowledge of ...

Data Scientist

Toronto, ON

CA$82K - CA$154K/yr

Data visualization. * Computational thinking and programming. * Data wrangling. * Data preprocessing. * Creative reasoning. * Verbal & written communication skills. * Collaboration & team skills.

Engineer features by using your business acumen to find new ways to combine disparate internal and ... Experience with data visualization tools preferred - Tableau, PowerBI, Looker, Plotly, etc. Agile ...

Data Analyst

Toronto, ON ยท Hybrid

CA$75K - CA$100K/yr

You will work closely with senior analysts, data scientists, engineers, product managers, designers ... Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)

... Data Visualization Proven experience building intuitive highimpact dashboards using Tableau Power BI or Looker Statistical Programming Solid working knowledge of Python specifically Pandas NumPy or R ...

Experience with data visualization tools (e.g. Tableau, Metabase, Looker). * Understanding of Airflow , DAG orchestration, and modern data pipelines. * Experience with LLM agents , prompt engineering ...

Data Scientist

Toronto, ON ยท On-site

CA$68K - CA$100K/yr

Knowledge of SQL Server and T-SQL programming. * Experience with PowerBI for data visualization and reporting. * Familiarity with MS Fabric for data integration and management. * Proficiency in ...

Specialist, Data

Toronto, ON ยท Hybrid

CA$59K - CA$108K/yr

Work with business and engineering teams on test planning and validation. * Ensure data ... Familiarity with data science, machine learning, data visualization, and geospatial analytics.

Showing results 41-60

Data Visualization Engineer information

See Ontario salary details

$74K

$139.1K

$195K

How much do data visualization engineer jobs pay per year?

As of Aug 20, 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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,104 per year, or $66.9 per hour.

Senior Data Scientist (Applied AI & Analytics)

ITPS (Canada) LTD

London, ON โ€ข On-site

CA$110K - CA$150K/yr

Full-time

Re-posted 15 days ago


Job description

Job Title: Senior Data Scientist (Applied AI & Analytics)

Location: London, ON / North Bay, ON (Hybrid)
Employment Type: 2-Year Contract (with option to extend)
Salary Range: $110,000 – $150,000 CAD (commensurate with experience)
Relocation Support: Moving allowance available


About ITPS

International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.

As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.


Role Overview

ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.

The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.


Key Responsibilities

  • Lead the design and development of data processing pipelines for complex, multi-source datasets
  • Develop methodologies to extract meaningful insights from time-series and high-frequency data
  • Design and implement statistical models and machine learning approaches where appropriate
  • Structure and integrate diverse data sources into unified analytical frameworks
  • Define key metrics, features, and indicators for performance analysis
  • Collaborate with subject matter experts to translate operational concepts into measurable outputs
  • Ensure data quality, consistency, and reliability across datasets
  • Support visualization and reporting of analytical results
  • Establish best practices for data management, documentation, and reproducibility
  • Contribute to technical planning and project execution
  • Participate in hiring and mentoring of junior data team members as the project expands


Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in applied data science or analytics roles
  • Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
  • Experience working with time-series data and large, complex datasets
  • Strong data wrangling, preprocessing, and feature engineering skills
  • Experience developing and deploying analytical models in real-world environments
  • Solid understanding of statistical methods and data analysis techniques
  • Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
  • Ability to work independently and translate ambiguous problems into structured solutions


Preferred Qualifications

  • Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
  • Experience in aerospace, defense, simulation, or human performance analytics
  • Familiarity with machine learning model development and evaluation
  • Experience with data architecture, pipelines, and cloud-based tools
  • Prior experience in R&D or applied innovation environments


What We’re Looking For

  • Strong problem-solving ability and practical mindset
  • Ability to work with incomplete or evolving datasets
  • Comfortable operating in an applied, hands-on environment
  • Strong communication skills and ability to work with non-technical stakeholders
  • Interest in building new capabilities from the ground up


Compensation & Benefits

  • Competitive salary based on experience ($110,000 – $150,000 CAD)
  • Moving allowance available for qualified candidates
  • Opportunity to work on a high-impact, technically challenging project
  • Potential for contract extension based on project success and business needs


Why Join ITPS

This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization. The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.


AI Disclosure: We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.