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Entry Level Ai Data Engineer Jobs in Toronto, ON

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering ...

Mercor

Data Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$80/hr

Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering ...

New

Mercor

Data Engineer - AI Model Evaluation

Toronto, ON · Remote

CA$80/hr

Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering ...

TheAppLabb

Data Engineer

Toronto, ON · On-site

TheAppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app ... As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ...

The App Labb

Data Engineer

Toronto, ON

TheAppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app ... As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

You will collaborate with AI engineers and data scientists to deliver high-quality, data-centric solutions that empower business decisions. Our Team The Data Cognition Team (DCT) at BMO Capital ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · On-site

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and ... Comfort and enthusiasm for using AI as a regular part of how work gets done * Experience in health ...

SuiteSpot

Data Engineer

Toronto, ON · On-site

The Role We're hiring a Data Engineer to build and maintain the data products our enterprise ... Some experience using Claude, Copilot, or similar AI tools in your workflow Why this Role Real ...

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 ... AI Disclosure: [ dentsu ] utilizes artificial intelligence tools as part of its recruitment process ...

Euna Solutions

Senior Data Engineer

Oakville, ON · Hybrid

CA$127K - CA$155K/yr

The Opportunity Senior Data Engineers are the builders for the business. You are recruited early ... Ship activation and light analytics through n8n, connectors, and AI, such as write-backs, alerts ...

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Entry Level Ai Data Engineer information

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.

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

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

What are popular job titles related to Entry Level Ai Data Engineer jobs in Toronto, ON?

For Entry Level Ai Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

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

The top searched job categories for Entry Level Ai Data Engineer jobs in Toronto, ON are:

Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 61% Full Time, 15% Part Time, and 24% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Data Engineer - AI Coding Expert

Mercor

Toronto, ON • Remote

CA$80/hr

Full-time

This job post has expired 7 days ago. Applications are no longer accepted.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.