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New Grad Data Engineer Jobs in Toronto, ON (NOW HIRING)

To build a new world of opportunity we bring together the brightest talent to help us build ... Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues ...

BI Data Engineer

Markham, ON · On-site

CA$100K - CA$115K/yr

New Role AI Disclosure: AI may be used during the hiring process. Role Overview We are seeking a BI Data Engineer to design, build, and optimize BI assets - dashboards, reports, and semantic data ...

An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney ... Role Summary The Senior Data Engineer will join the Software Engineering team that leads the ...

... larger customers and new jurisdictions. At Alpaca, Data Engineering encompasses financial ... transactions, customer data, API logs, system metrics, augmented data, and third-party systems that ...

... new data sources into the cloud data platform. * Implement observability capabilities and ... Experience with data engineering, programming, ETL and ELT processes for data extraction and ...

This program will enable us to train and operationalize new ML and AI models rapidly with improved ... Work alongside data scientists, quantitative analysts, software engineers, data engineers, and ...

As a Data Engineer you will play a critical role in harnessing behavioral data collected from ... Contribute to development best practices, experiment with new ideas, and collaborate across teams ...

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving ... Continuously evolving foundational models by identifying and incorporating new, high-value data ...

We are looking for an experienced and visionary Senior Data Engineer to work on advanced ML ... Expand your limits and create a new future together at RBC. Find out how we use our passion and ...

Showing results 41-60

New Grad Data Engineer information

See Toronto, ON salary details

$23.4K

$79.9K

$159.9K

How much do new grad data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for new grad data engineer in Toronto, ON is $79,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,990.00 and $112,612.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What are popular job titles related to New Grad Data Engineer jobs in Toronto, ON?

For New Grad Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching New Grad Data Engineer jobs in Toronto, ON look for?

The top searched job categories for New Grad Data Engineer jobs in Toronto, ON are:

Infographic showing various New Grad Data Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $79,890 per year, or $38.4 per hour.

Sr. Data Engineer

Propel Holdings

Toronto, ON • Remote

Full-time

Medical, Dental, PTO

Posted 6 days ago


Job description

About Us:

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit.

To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.

We are a team of passionate entrepreneurs, who foster curiosity and growth in our employees. Our culture is why we have been so successful and why our employees choose Propel to build their careers. It is also why we are one of North America’s fastest growing companies and a Best Place to Work.

Join us as we change the way employees, customers and shareholders succeed together.

 

About You:

You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.

You are a talented professional looking for a career, not a job.  Reporting to the Director, Data Platform, you will be responsible for developing and troubleshooting Stored Procedures, SQL, and SQL-based strategy for various teams. Much of your work will focus on Finance-related concepts and you will work closely with our Finance team, so ideally you already have some of this knowledge or you are highly motivated and autonomous when learning.

 

Responsibilities

  • Design, develop, and maintain secure, scalable Snowflake databases, schemas, warehouses, and data-sharing solutions for analytics, reporting, and finance use cases
  • Translate business and Finance requirements into well-defined Snowflake data models, technical designs, data contracts, and implementation plans
  • Develop and troubleshoot advanced Snowflake SQL, Snowflake Scripting, stored procedures, user-defined functions, and reusable data-platform components
  • Build and maintain reliable ELT pipelines using Snowflake stages, file formats, COPY INTO, Snowpipe, Streams, Tasks, Dynamic Tables, and appropriate integration or orchestration tools.
  • Create and evolve dimensional, relational, and semi-structured data models using Snowflake capabilities such as VARIANT, FLATTEN, and schema evolution where appropriate
  • Optimize Snowflake workloads by using Query Profile and query history to improve pruning, warehouse sizing, clustering, concurrency, caching, and overall execution performance
  • Establish cost-efficient warehouse and workload-management strategies, including sizing, auto-suspend, resource monitors, and usage monitoring
  • Implement and maintain Snowflake security and governance controls, including role-based access control, least-privilege permissions, masking policies, row access policies, tagging, auditing, and data classification
  • Support reliable development and release practices across environments through Git-based version control, code review, automated testing, CI/CD, and repeatable deployment processes
  • Develop monitoring, reconciliation, quality checks, and operational dashboards to identify pipeline failures, data freshness issues, query regressions, and unexpected Snowflake consumption
  • Apply Snowflake capabilities such as Time Travel, zero-copy cloning, secure data sharing, and environment isolation to support recovery, testing, and controlled access
  • Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues, improve definitions, and increase trust in critical business data
  • Document data models, lineage, operational procedures, security decisions, and performance or cost-tuning recommendations
  • Contribute to technical standards and mentor team members on Snowflake engineering best practices

 

Requirements

Must Have:

  • 8+ years of professional experience designing, developing, and troubleshooting SQL-based database or data-engineering solutions
  • 3+ years of hands-on experience building and operating production workloads on Snowflake
  • Strong knowledge of Snowflake architecture, including databases, schemas, virtual warehouses, micro-partitions, storage/compute separation, caching, and workload isolation
  • Advanced Snowflake SQL skills, including complex transformations, window functions, semi-structured data, query optimization, and data reconciliation
  • Experience developing Snowflake Scripting procedures, JavaScript or Python stored procedures, user-defined functions, and other reusable database logic
  • Practical experience designing ELT pipelines with Snowflake stages, file formats, COPY INTO, Snowpipe, Streams, Tasks, Dynamic Tables, or comparable Snowflake-native features
  • Proven ability to model data for analytics and Finance, including dimensional modeling, facts and dimensions, slowly changing dimensions, and appropriate normalization or denormalization decisions
  • Demonstrated experience diagnosing and improving Snowflake performance using query history, Query Profile, warehouse configuration, partition pruning, clustering, and workload/concurrency analysis
  • Experience managing Snowflake access and governance through RBAC, custom roles, grants, masking policies, row access policies, tags, and audit or usage monitoring
  • Experience with Python and scripting for data engineering, automation, testing, or Snowflake administration; Snowpark experience is an asset
  • Experience with GitHub or GitLab and collaborative software-development practices, including pull requests, code review, and automated deployment
  • Experience using generative AI tools such as ChatGPT, Claude, or Copilot is an asset, along with the ability to adopt AI tools responsibly in day-to-day engineering work

Nice To Have:

  • Experience with dbt, Airflow, Dagster, or another modern transformation and orchestration framework integrated with Snowflake
  • Experience with Snowflake governance, observability, cost-management, data-quality, or catalog tools
  • Experience with Snowflake account replication, failover groups, secure data sharing, or other business-continuity capabilities
  • Knowledge of Finance, accounting, lending, risk, or regulatory reporting concepts and data requirements
  • Experience migrating workloads from MySQL, Oracle, or other legacy database platforms to Snowflake
  • Development experience in Java or another application programming language
  • Experience with infrastructure-as-code or automated cloud deployment practices
  • Experience working with APIs, event-driven ingestion, REST services, or cloud storage integrations

Benefits to Joining Propel

  • Growth and opportunity – we pride ourselves on promoting from within
  • Incredible company culture
  • Competitive salary and health benefits
  • Comprehensive vacation package
  • Group health and dental benefits
  • Group RRSP program
  • Support for new parents
  • Diverse and inclusive workplace

 

Salary Range

$110,000 – $150,000

Final compensation is determined by market conditions, location, and the candidate’s experience, skills, and education. This role may also be eligible for performance-based incentive programs and total compensation may include variable incentives, such as bonuses and commissions.

 

This posting is for an existing vacancy within our organization.

 

Our Culture

Propel brings together the brightest talent to build opportunities. We are entrepreneurs who measure success through results and growth from within; talent and hard work never go unnoticed. Our team fosters curiosity and growth, making Propel one of North America’s fastest-growing companies and a Best Place to Work.

 

Commitment to Diversity & Inclusion

Propel welcomes and encourages applications from all groups, including Indigenous peoples, women, visible minorities, persons with disabilities, people from gender and sexually diverse communities, and those with intersectional identities. Should you require accommodation throughout any stage of the recruitment and selection process, please specify your requirements when submitting your application and we will work with you to meet your needs.

AI Disclosure

We use AI to assist in reviewing applications and assessing candidates. These tools support our recruitment team, however, all hiring decisions are made by our trained hiring managers and recruitment professionals, not AI.