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

Quality Engineer III

Toronto, ON · Remote

CA$96K - CA$136K/yr

Azure Data Engineer Associate * Microsoft Certified: Azure DevOps Engineer Expert * Databricks Certified Data Engineer Technical Expertise: * Strong experience in test automation for cloud data ...

Azure AI Engineer Associate. * Azure Administrator Associate. * Azure DevOps Engineer Expert. * Proficiency in the design and implementation of modern data integrations models and concepts in ...

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.

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 ...

Role Summary Reporting to the Director, AI Strategy and Data Platforms, as the Associate Director ... Qualifications * 7+ years of progressive experience in data engineering, data architecture, or data ...

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and ...

Showing results 21-40

Associate Data Engineer information

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 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.

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 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 are the most commonly searched types of Data Engineer jobs in Whitby, ON? The most popular types of Data Engineer jobs in Whitby, ON are:
What cities near Whitby, ON are hiring for Associate Data Engineer jobs? Cities near Whitby, ON with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in Whitby, ON as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

Quality Engineer III

Td

Toronto, ON • Remote

CA$96K - CA$136K/yr

Full-time

Re-posted 2 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$96,900 - $136,800 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.

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:

Department Overview
Treasury Technology within TD Data is building a modern enterprise data platform on Microsoft Azure, leveraging technologies such as Databricks, ADLS, ADF, and Airflow to enable scalable, secure, and high-performance data solutions.

Role Overview:
The QA III would be a senior role responsible for leading end-to-end quality engineering strategy and execution across the platform. The role requires developing and leading test governance, automation strategy, and release quality, with a focus on driving enterprise-scale quality outcomes.

The successful candidate will leverage advanced automation and AI-driven testing approaches to improve platform stability, partner with senior stakeholders, and define metrics and KPIs to measure quality maturity and adoption.

Key Accountabilities

  • Lead and evolve QA strategy, standards, and governance across the platform
  • Design and implement scalable automation frameworks for data platforms
  • Drive integration of testing into CI/CD pipelines and release processes
  • Establish data quality validation and control frameworks
  • Define and oversee quality KPIs, reporting, and continuous improvement
  • Leverage AI/GenAI capabilities to enhance test coverage and efficiency
  • Provide leadership and direction across teams, influencing stakeholders and delivery outcomes

Experience and/or Education

  • BS degree in Computer Science or related Engineering discipline; or equivalent practical experience
  • Strong academic background (e.g., software engineering, computer science)
  • 5-7 years of relevant experience

Preferred Certifications:

  • ISTQB Advanced (Test Manager / Automation)
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure DevOps Engineer Expert
  • Databricks Certified Data Engineer

Technical Expertise:

  • Strong experience in test automation for cloud data platforms
  • Proficiency in:
    • Python-based testing (PyTest, unittest)
    • Data quality tools (Great Expectations, dbt tests)
    • API testing (Postman / RestAssured)
  • Experience with Databricks, ADF pipelines, and Azure ecosystem
  • CI/CD and cloud-native testing practices

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