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

Associate Software Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

As part of the conversion team the software engineer will support the our data conversion projects ... We believe that associates do their best when they feel safe, understood, and valued, and we work ...

Associate Platform Engineer will have hands-on experience in application design, development, and ... Event Exchange will have external applications produce data to it, is able to ingest data from ...

... our associates, and in talent like you! Your Responsibilities: * Partner with a cross-functional team of data practitioners, software engineers, and product managers to manage the risk and ...

We are seeking a highly skilled and proactive Quality Engineer Associate with expertise in Native ... Build and execute API test automation to validate RESTful services, including authentication, data ...

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Associate Data Engineer information

See Toronto, ON salary details

$21.9K

$84.6K

$153.2K

How much do associate data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for associate data engineer in Toronto, ON is $84,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,965.00 and $107,363.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

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 salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

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 Toronto, ON? The most popular types of Data Engineer jobs in Toronto, ON are:
What job categories do people searching Associate Data Engineer jobs in Toronto, ON look for? The top searched job categories for Associate Data Engineer jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Associate Data Engineer jobs? Cities near Toronto, ON with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% In-person job distribution, with an average salary of $84,558 per year, or $40.7 per hour.

Associate - Analytics Engineering - Toronto

Teragonia

Toronto, ON

CA$120K - CA$133K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Location: Toronto Metropolitan Area

Base Salary: $120,000 - $133,000 (CAD)

Company Overview

Teragonia is the AI Operating System for Private Equity, helping sponsors and their portfolio companies turn fragmented operational data into decisions that move EBITDA. We operate in the highest-pressure segment of enterprise performance, where outcomes are time-bound by a 3 to 5 year hold period and execution velocity defines returns. Through Astradis, our AI platform, we unify structured and unstructured data, generate prescriptive insights in near real time, and embed them directly into operating workflows with clear ownership and measurable impact . We partner with PE firms managing more than US$400B in assets and are rapidly expanding globally.

Our work is measured in EBITDA outcomes. Across PE portfolio companies, we drive 3% to 5% EBITDA uplift, accelerate roll-ups through standardized data and KPI frameworks, and maintain continuous exit readiness with high-fidelity performance instrumentation . We are replacing episodic consulting with a compounding AI platform that scales expertise across companies, industries, and ownership cycles. Teragonia is built for high-agency builders who want early responsibility, direct exposure to world's leading private equity firms and their portfolio CXOs, and the opportunity to help define the operating layer for value creation in the AI era.

Teragonia offers a comprehensive career development platform through cross-learning within our multidisciplinary structure. We nurture a diverse, inclusive, collaborative, respectful, and collegial environment. Our competitive compensation package aligns with the technology industry leaders, encompassing 401k contribution matching, medical insurance, and additional benefits.
Read more about our mission, vision, and values on our website:

  • About Teragonia: https://teragonia.com/company/
  • Our Values: https:// teragonia.com/careers/
  • Our Purpose: https://teragonia.com/value-orchestration/

Teragonia's Value Creation & Analytics (VC&A) Department Summary

Teragonia's Value Creation & Analytics (VC&A) division bridges finance, consulting, and technology to support portfolio companies. We combine consulting rigor and AI to address complex challenges and enhance enterprise value through platform solutions and advisory. We prioritize professional growth through mentorship and cross-functional learning. 

The Astradis platform provides real-time intelligence through a function-specific command center, combining structured and unstructured data via our Fibron AI layer. Our platform powers diagnostic dashboards, forecasting models, pricing tools, and operations modules, enabling clients to transition from reactive reporting to predictive strategy.

Requirements

Job Summary

We are looking for a talented Analytics Engineer to join our team as an Associate. As an Associate, you will work closely with our team of analytics engineers to design and develop advanced analytics solutions for our private equity-backed company clients. You will assist in understanding their business needs and developing tailored analytics solutions.  

Responsibilities 
  • Assist in leading a team of analytics engineers to design and develop advanced analytics solutions  
  • Work closely with Clients to understand their business needs and develop tailored analytics solutions  
  • Assist in translating Client communicated business needs into an exploratory data analysis program and lead team efforts to execute  
  • Assist in designing, developing, maintaining, and optimizing complex enterprise data models to help solve operational and financial business problems  
  • Develop and maintain high-quality, visually appealing reports and dashboards to communicate complex analytics insights and recommendations to C-suite clients, ensuring that findings are easily understood and actionable by senior executives.  
  • Develop and maintain strong relationships with clients and internal stakeholders  
  • Participate in and assist in project meetings and contribute to project deliverables  
  • Ability to work in a fast-paced environment, manage multiple projects simultaneously, and prioritize tasks to meet deadlines  
  • Assist in developing and implementing process improvements to increase team efficiency and productivity  
  • Collaborate with data engineers to design, develop, maintain, and optimize data pipelines critical to the integrity of the enterprise data models  
  • Stay up-to-date with industry trends and best practices in data analytics and apply this knowledge to improve our solutions 
  • Support cross functional innovation initiatives 
  • Develop a sector or domain specialty 
  • Train (both on the job and formal training) junior resources 
  • Actively contribute to Teragonia's recruitment efforts to attract top talent 
  • Assist executive leadership and officers with strategic marketing initiatives 
  • Assist with conducting research for thought leadership initiatives 
RequirementsNecessary Qualifications 
  • Master's in Business Analytics, Accounting, Finance, Computer Science, Mathematics, Statistics, or a related field 
  • 3-5 years of experience in Financial Due Diligence analytics practice at a Big 4 firm or equivalent    
  • High business acumen and advanced understanding of connectivity between operational data and financial data (ERP <> CRM <> PoS <> HRIS <> P&L / trial balance / journal entries, etc.)  
  • Experience with data visualization tools such as Tableau or PowerBI    
  • Strong analytical and problem-solving skills  
  • Excellent communication and interpersonal skills 
Preferred Qualifications 
  • Experience with cloud-based analytics platforms and big data technologies such as Snowflake, GCP, DBT, FiveTran, Dataiku, etc.  
  • Experience with data modeling methodologies and concepts (e.g., Kimball Modeling, Data Vault, Data Mesh, etc.)  
  • Strong SQL or Python skills and experience with data modeling and exploratory data analysis  
  • Certification in data science or analytics (e.g., Certified Analytics Professional)

Benefits

Canadian Benefits

  • Competitive Total Compensation - Market-benchmarked salary and bonus structure to attract and retain top talent.
  • Additional Compensation - Performance-based incentives and signing bonus, as applicable.
  • Visa Sponsorship - May be available for eligible candidates to join our diverse team subject to applicable laws and regulations in Canada.
  • RRSP Plan with Employer Contributions - We help secure your future with matching RRSP contributions up to 6.0% of your annual base salary.
  • WSIB Coverage - Workplace Safety and Insurance Board coverage as required by Ontario law.
  • Professional Development Opportunities - We will sponsor company-selected training sessions, conferences, and certifications to foster your growth.
  • Meal Stipend - Reimbursement for lunch at the office, and dinner too if you are working past 7 pm, up to a limit. 
  • Fitness-Wellness Stipend - For fitness & wellness programs, such as gym memberships, up to a limit. 
  • Paid Time Off (PTO) - Eligible for 15 to 20 days PTO based on applicable level. Vacation pay is calculated as required by the Ontario Employment Standards Act. Vacation time may be carried over up to a maximum allowable under ESA requirements.
  • Statutory Holidays - ESA statutory holidays as well as additional company holidays: New Year's Day, Family Day, Good Friday, Victoria Day, Canada Day, Labour Day, Thanksgiving, Christmas Day, Boxing Day, Easter Monday, Civic Holiday, Remembrance Day
  • Comprehensive Healthcare, Vision, and Dental Insurance - We prioritize your health and wellness with insurance coverage through leading Canadian providers equivalent to or  exceeding provincial requirements.
  • Fertility and family-building benefits through leading Canadian healthcare providers.
  • Flexible Benefits Plan - We provide the opportunity to manage your healthcare expenses efficiently through Canadian  tax-advantaged benefit plans where available.
  • Mental Health Support - Access to mental health support through Canadian mental health providers covered under our healthcare plan.
  • Health Navigation Services - Expert assistance to help you navigate the complexities of the Canadian healthcare system.
  • Disability Insurance - We provide short term disability insurance through a leading Canadian provider covering up to 26 weeks at 60% of weekly earnings up to $1,500, exceeding Employment Insurance requirements.
  • Sick Days - 5 paid sick days annually that reset each year, as required under the Ontario Employment Standards Act. Additional unpaid sick leave available as per ESA requirements.
  • Leaves of Absence - Teragonia provides unpaid statutory leaves as required by the Ontario Employment Standards Act, 2000 (ESA), including pregnancy, parental, caregiver, and bereavement leave. Eligibility and duration follow provincial regulations. Additional unpaid leaves or flexible arrangements may be considered on a case-by-case basis.
  • Paid Parental Leave - Paid Parental Leave of 12 weeks after 6 months of service with the company.

Flexible Work Policy

We promote flexible work to support wellbeing and performance. Remote work is available though in-person collaboration is encouraged for planning and team connection. Toronto based employees have no mandated office days but are expected in person for key meetings. Employees outside Toronto may work remotely with occasional travel for events. Early career professionals with less than three years of experience should live within commuting distance to receive in person mentorship. Relocation support is available on a case-by-case basis.

Working Hours and ESA Exemption

This position is classified as a specialized professional role under O. Reg. 285/01, s. 2 of Ontario's Employment Standards Act, 2000 (ESA) and is therefore exempt from overtime pay requirements. While standard hours of work are expected to be approximately 40 hours per week, additional hours may be required to meet client deliverable sand business needs. Such  expectations are reflected in the annual salary.

Canadian Experience

We welcome applications from all qualified candidates. Canadian work experience is not a requirement for this position.

Diversity, Equity, and Inclusion Statement

We are an equal opportunity employer and are committed to providing a respectful, inclusive, harassment free workplace. We hire based on merit and qualifications in line with the Ontario Human Rights Code and Employment Standards Act. We welcome applicants from all backgrounds. 

Accommodation for Disabilities

We are committed to dignity, independence, inclusion, and equal opportunity under the Ontario Human Rights Code and  AODA. We provide reasonable accommodations during recruitment and employment. Employees needing support should contact their manager or Human Resources representative.

Retention Notice

In compliance with Ontario's employment standards, Teragonia retains copies of all publicly advertised job postings and associated application forms for a period of three years.
Recruiting Process

Our recruitment process is designed to ensure a thoughtful and comprehensive evaluation of candidates, as well as alignment with the team's objectives and company values. Candidates are encouraged to ask questions and engage openly throughout.  The process typically involves the following stages:

  • Initial Interviews with Managers - Two interviews focused on fit and goals
  • Technical Interviews with Principals - One or two sessions assessing skills and problem-solving
  • Final Interview with Founders - Discuss strategic alignment and long-term potential

AI Use Disclosure

We use artificial Intelligence (AI) tools to support the screening and assessment.

Accessibility in Recruitment

We are committed to accessibility.  If you require accommodation during any stage of the recruitment process, please contact us in advance. We will support you in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA).Â