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Data Analytics Engineer Jobs in Ontario (NOW HIRING)

Faire

Senior Analytics Engineer - Marketplace

Toronto, ON · On-site

CA$171K - CA$235K/yr

About the role Are you passionate about using data to shape the future of Faire's product features ... What You Will Do The ideal candidate will possess a perfect blend of analytics and data engineering ...

Reconomy

Bachelor's degree in Data Analytics, Business, Finance, Engineering, or a related field. * 3-6 years of experience in data analytics, business intelligence or financial / operational analytics roles.

Cna

Senior Data Analytics Consultant

Toronto, ON

CA$90K - CA$105K/yr

Experience programming in a language such as VBA, R, or Python is desired. * Advanced technical ... Ability to analyze data and provide valuable insights. * Strong interpersonal, communication and ...

Giant Tiger

BI Developer, Data & Analytics

Ottawa, ON · Remote

Job Title BI Developer, Data & Analytics About This Role: Workplace Arrangements : This is a fully remote role! The incumbent may be asked to come onsite to our Ottawa, Ontario Home Office quarterly ...

Passage

Senior Analytics Engineer

Toronto, ON · On-site

CA$100K - CA$150K/yr

The role You'll own Passage's data platform end to end. Not a greenfield project and not a legacy ... Executive KPIs, conversion funnels, cohort analytics, and marketing attribution across Google Ads ...

New

Teladoc Health, Inc.

The Data Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data ...

Teladoc

Data Engineer

Toronto, ON · On-site

The Data Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data ...

Affinity

Drive quality and innovation in analytics engineering. Affinity invites applications for a Principal Engineer Data Solutions to oversee quality and scalability in a senior technical position. In this ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Ontario

Data Analytics Engineer information

See Ontario salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analytics engineer in Ontario is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Ontario? The most popular types of Data Analytics Engineer jobs in Ontario are:
What are popular job titles related to Data Analytics Engineer jobs in Ontario? For Data Analytics Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Ontario look for? The top searched job categories for Data Analytics Engineer jobs in Ontario are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Senior Analytics Engineer - Marketplace

Faire

Toronto, ON • On-site

CA$171K - CA$235K/yr

Other

Re-posted 7 days ago

Job description

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

  • Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
  • Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
  • Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
  • Optimize processes for operational excellence in project management and system reliability.
  • Ensure security standards are met within data systems and workflows. 
  • Ensure and promote data quality standards for accurate and reliable insights.
  • Embrace emerging technologies with enthusiasm.

Minimum qualifications

  • 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
  • Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
  • Production-level development experience in Python.
  • Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
  • Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
  • Experience with Airflow, Docker, DBT or similar analytics workflow tools.
  • BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

Toronto: the pay range for this role is $171,000 to $235,500 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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