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Entry Level Data Engineering Jobs in Toronto, ON

Graduated from a Computer Science, Software Engineering, or similar program in a University or ... data. While we sincerely appreciate all applications, only those candidates selected for an ...

Mobile Developer (Entry Level)

Toronto, ON · Hybrid

CA$85K - CA$95K/yr

About The Role As an entry level Mobile Developer you'll be tasked with working on either iOS or ... data. While we sincerely appreciate all applications, only those candidates selected for an ...

We are the leading provider of sustainable Engineering, Architecture, Construction and Consulting ... This individual may also delegate basic and fundamental tasks to entry-level engineers and ...

Engineering Associate

Hamilton, ON · On-site

$70K - $80K/hr

... data to non-technical stakeholders. * Bachelor's degree in Civil Engineering or Structural Engineering . * 0 to 3 years of experience in structural design or a related field. Entry-level candidates ...

Engineering Associate

Hamilton, ON · On-site

CA$70K - CA$80K/yr

... data to non-technical stakeholders. * Bachelor's degree in Civil Engineering or Structural Engineering . * 0 to 3 years of experience in structural design or a related field. Entry-level candidates ...

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Understanding of software engineering fundamentals, including: * Data structures and algorithms

Acoustics Engineer

Toronto, ON · On-site

CA$65K - CA$78K/yr

Description RWDI is a global climate and performance engineering consulting firm that helps its ... Familiarity with acoustic instrumentation, data acquisition systems and digital signal processing.

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Entry Level Data Engineering information

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How much do entry level data engineering jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for entry level data engineering in Toronto, ON is $29.93, according to ZipRecruiter salary data. Most workers in this role earn between $14.68 and $32.58 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

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

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

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

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

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

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

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

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

Infographic showing various Entry Level Data Engineering job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 19% Part Time, and 4% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $62,251 per year, or $29.9 per hour.

Entry Level Data Backend Engineer - Trust & Safety (Remote - Canada)

Toronto, ON • Remote

Yelp, Inc
Internet and IT • 1 - 5K employees

Full-time

Posted 15 days ago


Yelp rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

203rd of 247 rated software companies


Job description

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp's Content Safety team is the real-time enforcement engine of Trust & Safety. We protect the platform from fake accounts, inappropriate content, and disruptive interactions, stopping harmful content within seconds to hours across Yelp's consumer and business-facing surfaces.

As an entry-level Data Backend Engineer , you will contribute to the systems that keep Yelp trustworthy at scale. This includes enforcement pipelines, data infrastructure, and internal tooling used by operations and moderation teams to review and act on flagged content and accounts.You will work closely with your fellow engineers and ML specialists to contribute valuable code and ship work that has a direct impact on the safety of millions of users.

You’ll have the opportunity to build deep backend and data engineering skills on meaningful, high-stakes problems.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Design and build backend services and data pipelines that power real-time detection and enforcement of fake accounts and harmful content, with a focus on code quality, testability, and maintainability
  • Write, test, and ship production-grade Python code across Content Safety's enforcement stack, following engineering best practices with guidance from senior engineers
  • Help build and maintain internal tooling used by moderators and operations teams to review and action flagged content and accounts
  • Help maintain and improve enforcement flows that quarantine content, close accounts, and block harmful interactions
  • Collaborate with ML engineers to support the productionization of detection signals and model outputs, with opportunities over time to contribute to analysis and model development.
  • Participate in code reviews, oncall rotations, and team processes to build operational instincts over time
  • Investigate production issues and contribute fixes across a complex, interconnected codebase

  • Proficiency in Python
  • Strong software engineering fundamentals: data structures, algorithms, system design, and a commitment to writing clean, tested, maintainable code
  • Familiarity with SQL and basic data processing concepts
  • Ability to ramp quickly on an unfamiliar codebase and ask good questions
  • Clear written and verbal communication as the team works cross-functionally and documents its work
  • BS in Computer Science or equivalent practical experience

  • There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data and years of experience. Based on the anticipated level of experience that we are seeking, we expect the compensation range for this role to be between $[89,000] and $[134,000].  The actual compensation offered may be influenced by a variety of factors, including the candidate’s experience and skill set.

  • There may be flexibility with the range included in this posting should a candidate be leveled higher or lower than the posted range.

  • This opportunity has the option to be fully remote in all locations across Canada.
  • This role is posted to fill an existing position.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

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