2

Entry Level Data Software Engineer Jobs in Toronto, ON

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

Associate Data Engineer

Toronto, ON · Hybrid

CA$57K - CA$90K/yr

As an Associate Data Engineer at Gore Mutual Insurance, you have a strong technical background in software engineering / computer science and will be responsible for building, and maintaining our ...

Posted today

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Hybrid Hadoop Engineer and Hadoop Infrastructure Administrator to build and maintain a scalable and resilient Big Data framework to support Data Scientists. As an administrator, your responsibility ...

Software Engineer

Brampton, ON · On-site +1

CA$83K - CA$125K/yr

The Software Engineer will design, develop, document, test, deploy, and debug new and existing ... Design, build, and maintain scalable data pipelines and services that process high- volume EDI ...

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Education Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence ...

Qualifications Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial ...

We are looking for a Software Engineer who wants to grow with a product engineering team that is ... Raise unclear requirements, technical risks, data questions, or integration concerns early.

We are seeking a skilled software engineer to join our team. Key Responsibilities: Implement ... fundamentals in data structures, design patterns, algorithm design, and complexity analysis ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

We are officially hunting for our next Data Engineer in Vaughan, ON-someone ready to bring fresh ideas and grow alongside a dynamic team. About Us GFL is one of the largest diversified environmental ...

next page

Showing results 1-20

Entry Level Data Software Engineer information

See Toronto, ON salary details

$19.1K

$83.2K

$176.6K

How much do entry level data software engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level data software engineer in Toronto, ON is $83,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,787.00 and $127,404.00 per year, depending on experience, location, and employer.

What does an entry level data software engineer do?

An Entry Level Data Software Engineer designs, develops, and maintains software systems that handle and process data. They often work with databases, data pipelines, and tools for collecting, storing, and analyzing large datasets. Their responsibilities typically include writing code, debugging, testing applications, and collaborating with other engineers or data scientists. This role is ideal for those new to the field, as it allows them to build foundational skills in software engineering and data management.

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

To thrive as an Entry Level Data Software Engineer, you need foundational knowledge in programming (such as Python, Java, or SQL), data structures, and algorithms, typically supported by a relevant degree or coursework in computer science or related fields. Familiarity with tools like Git, databases (e.g., MySQL, PostgreSQL), and data processing frameworks (such as Hadoop or Spark) is often required. Problem-solving abilities, attention to detail, and strong teamwork and communication skills help you adapt and collaborate effectively. These skills and qualities are essential for building reliable data solutions and contributing to team-driven engineering projects.

What are some common challenges faced by entry level data software engineers, and how can they overcome them?

Entry level data software engineers often encounter challenges such as understanding complex data pipelines, adapting to new technologies quickly, and collaborating with cross-functional teams. To overcome these challenges, it's helpful to ask questions regularly, seek mentorship from more experienced colleagues, and invest time in learning the company's tech stack and best practices. Developing strong communication skills will also make it easier to work with data scientists, analysts, and other engineers, ensuring smoother collaboration and faster professional growth.

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

AspectEntry Level Data Software EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; programming skills in Python, Java, or SQLBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping data pipelines, software tools, and applications; collaborating with data engineers and software developersAnalyzing data sets, creating reports, and visualizations; working closely with business teams
Employer & Industry UsageTech companies, startups, and enterprises focusing on data-driven software solutionsFinance, marketing, healthcare, and consulting firms focusing on data insights

While both roles involve working with data, Entry Level Data Software Engineers focus on building data systems and software, requiring programming skills. Data Analysts primarily interpret data to provide insights, emphasizing analysis and visualization. The roles often overlap but serve different functions within data teams.

Infographic showing various Entry Level Data Software 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 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $83,218 per year, or $40 per hour.

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

Yelp, Inc

Toronto, ON • Remote

Full-time

Posted 8 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.

#LI-Remote

Recruiting and Applicant Privacy Notice


What Yelp employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom