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Data Engineer Jobs in Ontario (NOW HIRING)

Clio

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

As a Data Engineer at Clio, you will build data pipelines from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new ...

New

Thales

Data Engineer

Ottawa, ON · Hybrid

Ottawa, Ontario, Hybrid Position Summary Thales is looking for a Data Engineer who will be involved in the data engineering activities in support of projects that contribute to naval platforms in ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the data foundation that powers analytics, reporting, AI development, and operational decision-making ...

TheAppLabb

Data Engineer

Toronto, ON · On-site

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will ...

TheAppLabb

Data Engineer

Toronto, ON · On-site

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will ...

Pelmorex

Data Engineer

Oakville, ON · On-site

We're looking for a Data Engineer who enjoys building reliable, scalable data solutions and is passionate about turning raw data into high-quality datasets that power products and business decisions.

The App Labb

Data Engineer

Toronto, ON

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

Scotiabank

Data Engineer

Toronto, ON · On-site

We are looking for a handson Data Engineer with deep expertise in Apache Spark and strong programming skills in Python, Scala, and Java. This role is centered on building high performance, scalable ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of ...

Aviso Wealth

Data Engineer, Temporary

Toronto, ON · On-site

As a Data Engineer, you will help in advancing our data maturity, ensuring that our data infrastructure is robust, scalable, and secure. Your work will directly impact our ability to make data-driven ...

TMX Group

Data Engineer

Toronto, ON · Hybrid

We are seeking a seasoned and motivated Data Engineer to join our growing Enterprise Data and Advanced Analytics Platform team. The ideal candidate is an expert data pipeline builder and data ...

BMO Capital Markets

Lead Data Engineer

Toronto, ON

CA$75K - CA$141K/yr

Data Analytics & Reporting We are seeking a Lead Data Engineer with strong ETL and Application expertise to lead the enhancement of existing ETL applications and design modern ETL/ELT pipelines as ...

Dentsu Aegis Network

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

We'relooking for a Data Engineer with3-5years of hands-on experience to join our team.You'llown the ingestion, modelling, and delivery of data from the advertising platforms our clients run on ...

SuiteSpot

Data Engineer

Toronto, ON · On-site

The Role We're hiring a Data Engineer to build and maintain the data products our enterprise customers consume. Our customers run large multifamily portfolios and want SuiteSpot's operational data ...

Aviso Wealth

Data Engineer, Temporary

Toronto, ON · On-site

As a Data Engineer, you will help in advancing our data maturity, ensuring that our data infrastructure is robust, scalable, and secure. Your work will directly impact our ability to make data-driven ...

Scotiabank

Data Engineer

Toronto, ON · On-site

Implement DataOps/DevOps best practices including CI/CD pipelines (Jenkins, Cloud Build), automated testing, and infrastructure-as-code using Terraform. * Perform data profiling, quality checks, and ...

Fitch Solutions

Principal Data Engineer

Toronto, ON

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Toronto office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

United Airlines

Data Engineer

Mississauga, ON

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Ontario

Data Engineer information

See Ontario salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Ontario is $122,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Ontario? The most popular types of Data Engineer jobs in Ontario are:
What are popular job titles related to Data Engineer jobs in Ontario? For Data Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Ontario look for? The top searched job categories for Data Engineer jobs in Ontario are:
What cities in Ontario are hiring for Data Engineer jobs? Cities in Ontario with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in ON? For Data Engineer jobs in ON, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $122,622 per year, or $59 per hour.

Data Engineer

Clio

Toronto, ON • Hybrid

CA$119K - CA$161K/yr

Full-time

Medical, Dental, Vision

Posted 3 days ago

New

Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:
What your team does:

Our growing data engineering team is driven to deliver an incredible experience to our customers. As a Data Engineer at Clio, you will build data pipelines from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new state of the art technologies, and are motivated by solving complex problems.

This role is available to candidates in Toronto, with the expectation of coming into our Toronto offices twice a week.

A day in the life might look like:

  • Implement data ingestion (real time and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools

  • Design, build, and maintain data transformation pipelines consolidating various data sources (streaming or batch) into specific Data Lakes / Data Warehouses

  • Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation

  • Develop prototype or "proof of concept" implementations of projects where the technical solution is unknown or unproven

What you may have:

  • Experience in software development as well as experience in data engineering

  • Experience with cloud infrastructure (AWS preferred, bonus for Terraform)

  • Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, the drive to write elegant and maintainable code, and desire to pick up new technologies

  • Experience with streaming and batch data tools: Spark, Kafka, Airflow

  • Data warehousing experience working with Databricks or similar

  • Experience building data pipelines and the infrastructure required to deploy data models and dashboards that allow data visualization

  • Exceptional collaboration and communication skills with the ability to derive clarity in ambiguous environments

  • A keen interest in improving your craft by using AI

This posting is for a net new role.

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $119,000 to $161,000 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.

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