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Associate Data Engineer Jobs in Toronto, ON (NOW HIRING)

Collaborate on maintaining data assets, providing business context for data initiatives, and ... Internal / Interne * Enable team members by sharing knowledge and leveraging engineering best ...

The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 ... The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ...

AI Engineer

Markham, ON

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

AI Engineer

Concord, ON · On-site

CA$110K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Showing results 21-40

Associate Data Engineer information

See Toronto, ON salary details

$21.9K

$84.6K

$153.2K

How much do associate data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for associate data engineer in Toronto, ON is $84,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,965.00 and $107,363.00 per year, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Toronto, ON?

The most popular types of Data Engineer jobs in Toronto, ON are:

What job categories do people searching Associate Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Associate Data Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Associate Data Engineer jobs?

Cities near Toronto, ON with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $84,558 per year, or $40.7 per hour.

Data Associate - CPB Data Curation

Toronto, ON • On-site

CA$59K - CA$84K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$59,500 - $84,000 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Job Description:


Translate business requirements into technical solutions, supporting data analysis, and documenting data processes. Collaborate on maintaining data assets, providing business context for data initiatives, and helping research new data usage methods. Contribute to building and maintain Data Products and support production data activities when needed.


Job Accountabilities

  • Perform data analysis and assist in assessing data management requirements for a specific Platform or Journey.

  • Articulate technical design and development details to non-technical business partners

  • Maintain foundational knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata

  • Support the acquisition and ingestion of data

  • Elicit, analyze, and understand business and data requirements to develop complete business solutions under the guidance of senior peers and tech leads, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata

  • Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines

  • Provide support in DEV/Testing cycles with requirements traceability

  • Support partners and stakeholders in interpreting and analyzing data

  • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest

  • Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit

  • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques

  • Internal / Interne

  • Enable team members by sharing knowledge and leveraging engineering best practices.

  • Performs tasks independently. Uses and evolves established patterns to solve routine problems; contributes to new patterns where necessary

  • Ability to adapt to changing project requirements, technologies, and priorities while delivering effectively under perceived timeframes

  • Support delivery on a 2-3-year roadmap for Canadian Personal Banking Data Products

  • The role is expected to retain critical institutional knowledge within SIJ business domain and act as lead Data Designer in Curation POD.

Experience and Education requirements

  • 1 - 2 years of relevant experience

  • Role requires hands on experience and proficiency in basic SQL, Bit Bucket (GitHub), Jira, Confluence, Agile delivery and ability to perform Data Mapping, requirements gathering, support SDLC cycles with requirements traceability, support POD in Agile ceremonies, alongside strong communication skills to address stakeholder management.

  • Some proficiency in PySpark, Java/Python is expected alongside familiarity with data visualization tools (e.g., PowerBI, Tableau etc.).

  • Azure Cloud skills highly preferred, including knowledge of Azure Data Bricks, Azure Data Factory.

  • Robust documentation skills, strong analytical abilities required, alongside excellent communication skills to work seamlessly with multiple cross-functional teams.

  • Nice to have - experience with GitHub Copilot, understanding of data modeling

  • Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet