1

Graduate Data Engineer Jobs in Ontario (NOW HIRING)

Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience ... Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices ...

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

Graduate Degree * Some College * Bachelor of Arts Degree or equivalent work experience * Certified ... Core Data Engineering & Platform Ownership * Design, develop, and maintain scalable ETL pipelines ...

Associate AI Engineer

Toronto, ON ยท Hybrid

CA$60K - CA$80K/yr

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 ... This is an exciting opportunity for a recent graduate or early-career engineer who wants to work at ...

Graduate degree in computer science, software engineering, applied mathematics, data science, statistics, or related field. * 10+ years in analytics, data science, or related fields, with 5+ years in ...

Full Stack Data Science Engineer

Toronto, ON ยท On-site

CA$120K - CA$154K/yr

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

New

Mechanical, Aerospace, Electronics Engineering Undergraduate or Graduate degree Knowledge of Gas ... update existing data visualization tools Participate/contribute/deliver presentations in ...

Data Scientist

Toronto, ON ยท Hybrid

CA$131K - CA$150K/yr

A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics ... engineering) . This role is a backfill for an existing position. What you will find here:

next page

Showing results 1-20

Graduate Data Engineer information

What are the key skills and qualifications needed to thrive in the Graduate Data Engineer position, and why are they important?

A Graduate Data Engineer typically requires a bachelor's degree in computer science, engineering, mathematics, or a related field, along with foundational knowledge of programming, data structures, and database concepts. Familiarity with technologies such as SQL, Python, cloud platforms (e.g., AWS, Azure), and modern data engineering tools like Apache Spark or Hadoop is often expected, and introductory certifications can provide an added advantage. Strong analytical thinking, problem-solving ability, effective communication, and eagerness to learn are valuable soft skills in this role. These skills and qualities are crucial for efficiently building, maintaining, and optimizing data pipelines that support business decision-making.

What are the typical daily tasks and responsibilities of a Graduate Data Engineer?

As a Graduate Data Engineer, your daily tasks may include building and maintaining data pipelines, assisting with data cleansing and transformation, and collaborating with data scientists and other engineers to deliver reliable datasets. You'll often work with structured and unstructured data, write scripts to automate data workflows, and help troubleshoot data integration issues as they arise. Throughout your work, you'll be expected to document processes and learn new tools or technologies as the team evolves. This role provides an excellent opportunity to develop hands-on technical skills while working closely with experienced professionals in a collaborative setting.

What is a Graduate Data Engineer job?

A Graduate Data Engineer is an entry-level role focused on designing, building, and maintaining data pipelines and infrastructure. They work with large datasets, ensuring data is collected, processed, and stored efficiently for analysis. Typically, they collaborate with data scientists, analysts, and other engineers to support data-driven decision-making. This role often involves using programming languages like Python or SQL, cloud platforms, and big data technologies. Graduate Data Engineers gain hands-on experience in data engineering principles and tools, helping organizations manage and optimize their data workflows.

What are popular job titles related to Graduate Data Engineer jobs in Ontario? For Graduate Data Engineer jobs in Ontario, the most frequently searched job titles are:
Infographic showing various Graduate Data Engineer job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer IV, Data

United States Digital Space LLC

Toronto, ON โ€ข On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

If you are looking for a career at a dynamic company with a peopleโ€‘first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.

Who we are:

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. the company Inc. (ACV), has applied innovation and userโ€‘designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include the company, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer:

  • Company Sponsored (paid) Healthcare, Dental, Vision, Life/AD&D, Short-Term and Long-Term Disability.
  • Comprehensive additional optional benefits such Critical Illness and Supplemental Life/AD&D.
  • All insurance benefits go into effect on your date of hire.
  • Generous Parental Leave Top-Up Pay and Vacation Programs.
  • Employee Stock Purchase Program with additional opportunities to earn stock in the company.
  • Retirement planning through the Companyโ€™s RRSP.
What you will do:

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join our ML inspection team. In this role, you'll drive endโ€‘toโ€‘end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the highโ€‘throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale.

This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions endโ€‘toโ€‘end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.

The core responsibilities of this role are:
  • Design and train highโ€‘performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
  • Architect and maintain highโ€‘throughput, containerized microservices for model serving using REST/gRPC to ensure lowโ€‘latency performance.
  • Collaborate with business stakeholders to translate complex inspection requirements into scalable, productionโ€‘grade ML solutions.
  • Own the endโ€‘toโ€‘end model lifecycle, from experimentation and design to deployment and optimization in highโ€‘traffic environments.
  • Design and maintain robust data pipelines using Kafka to ensure highโ€‘fidelity inputs for model serving and inference.
Required Qualifications:
  • Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
  • 5+ years of prior computer vision experience
  • Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
  • Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, realโ€‘world image datasets.
  • Experience optimizing highโ€‘latency models for realโ€‘time inference
  • Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
  • Experience building and maintaining streaming data pipelines (e.g., Kafka) for realโ€‘time model serving.
Preferred Qualifications:
  • Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
  • Experience designing evaluation frameworks for complex visual data
  • Experience leading technical design reviews

#LI-AM3

Our ValuesTrust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling

At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.

For information on our collection and use of your personal information, please see our Privacy Notice.No immigration or work visa sponsorship provided for this position.

Compensation:

The compensation range for this position is listed in the "Job Details" section at the bottom of this posting. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law.

#J-18808-Ljbffr