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

... new technologies and best practices. We're a team that actively uses AI tools to work smarter ... Understanding of data engineering fundamentals, like ETL/ELT, data modeling, and building ...

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

From onboarding a brand-new source, to building and hardening the ETL that moves and shapes it, to ... As a Data Engineer on this team, you are at the front of that chain. You will onboard new sources ...

The Intermediate Data Engineer is highly motivated and experienced; responsible for designing ... new data sources. * Collaborate with subject matter experts to deliver solutions that enable the ...

... to new or lower level analysts Has the ability to operate with a limited level of direct ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer

Toronto, ON

CA$61K - CA$113K/yr

Technology About the team Data and AI Technology (DAT) Engineering supports BMO's Digital-First ... We'll support you with the tools and resources you need to reach new milestones, as you help our ...

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key ...

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

From onboarding a brand-new source, to building and hardening the ETL that moves and shapes it, to ... As a Data Engineer on this team, you are at the front of that chain. You will onboard new sources ...

In Anti-Money Laundering (AML), we are building a new Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture. As a Lead Data Platform Engineer ...

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key ...

We are seeking a Lead Data Engineer to build and maintain scalable data pipelines supporting ... Expand your limits and create a new future together at RBC. Find out how we use our passion and ...

BI Data Engineer

Markham, ON

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 ...

Join RBC as a Data Engineer to design, build, and maintain stable, scalable data assets in ... Expand your limits and create a new future together at RBC. Find out how we use our passion and ...

This position reflects a new vacancy Requirements ???? What You'll Do (Your Superpowers) * Design, build, and maintain scalable ETL/ELT pipelines and data workflows that the business can rely on ...

Delivers enhancements to existing data pipelines and develops new pipelines based on defined requirements with minimal guidance * Demonstrates strong understanding of data engineering tools and ...

This position reflects a new vacancy Requirements What You'll Do (Your Superpowers) * Design, build ... Mentor junior engineers and help define how the data engineering function is structured as the team ...

... 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 ...

Showing results 21-40

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 Aug 12, 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 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.

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 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.

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 such as SQL, Python, or cloud platforms, and demonstrate a strong understanding of data pipelines and systems. Entry-level roles often focus on potential and foundational knowledge, and internships or projects 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.

Jr Data Engineer

Citylitics

Toronto, ON • Hybrid

Full-time

Re-posted 20 days ago


Job description

About Citylitics Inc.
Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America.

Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America.

Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. 

Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines.

Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure.

Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together.
Who Are We Looking For?

We're looking for a skilled and enthusiastic Junior Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running.

This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses. You'll be responsible for designing, building, and maintaining production data pipelines that power customer-facing solutions. You'll leverage various technologies we already use, including GCP services like Cloud Composer, Cloud SQL, and BigQuery. 

Beyond the technical skills, we value collaboration, a proactive approach to problem-solving, and a willingness to learn and adapt to evolving technologies. If you're passionate about data, thrive in a collaborative environment, and are excited by the prospect of working on impactful projects, we encourage you to apply.

This is a hybrid role based out of Citylitics' Toronto office and requires 3+ days in-office per week.

What Will You Accomplish? / How You Will Make An Immediate Impact:

  • Design, build, and maintain: Develop and deploy highly performant, reliable, and maintainable pipelines using Airflow and BigQuery. This includes everything from initial design and development through testing, deployment, and ongoing monitoring and maintenance.
  • Data Modeling & Optimization: Collaborate with data analysts and stakeholders to define data requirements, and design efficient and effective data models within BigQuery. You'll be optimizing queries and pipeline/dashboard performance for maximum efficiency.
  • Custom Solutions: Serve as the dedicated data engineering resource for our Custom Solutions work, partnering closely with Data, Product, and Customer Success teams to take bespoke client requests from validated proof-of-concept through to production. Throughout, you'll translate client requirements into technical solutions and clearly communicate technical details and project progress to stakeholders.
  • Continuous Improvement: Contribute to the ongoing improvement of our data infrastructure and processes, including suggesting and implementing new technologies and best practices. We're a team that actively uses AI tools to work smarter - from accelerating development and debugging to assisting with design and documentation. We're looking for someone who's comfortable leveraging AI to boost their productivity and is excited to help us find new ways to build faster and better.
  • Other duties as assigned

Requirements

    • Proficiency in Python and SQL.
    • Proven experience (2+ years) building and maintaining data pipelines using Airflow/Cloud Composer. 
    • Strong understanding of data warehousing principles and experience working with BigQuery.
    • Understanding of data engineering fundamentals, like ETL/ELT, data modeling, and building idempotent, reliable pipelines.
    • Experience with Git and cloud platforms (GCP preferred).
    • Experience building and deploying interactive dashboards or data apps (e.g., Dash on Cloud Run) is a plus.
    • Excellent problem-solving skills and a proactive approach to identifying and resolving issues.
    • Excellent communication and collaboration skills - you'll be working closely with analysts and other stakeholders.
    • Comfort and enthusiasm for using AI tools like Claude in your daily workflow.


Vacancy Status: This position is for an existing and active vacancy that the company is currently seeking to fill.

Benefits

What's in it for you?

  • Make real-world impact: Influence positive change across one of the biggest societal challenges of our generation: building and maintaining sustainable public infrastructure.
  • Sell a genuinely differentiated platform: You'll represent a disruptive, data-driven solution with a compelling value proposition in a market that is eager to engage.
  • Operate at the intersection of infrastructure, scale-up, and data science: We live where infrastructure meets AI and advanced data. There is no other team like ours in Toronto.
  • Move fast, learn faster: There's no corporate bureaucracy here. You'll accomplish more in a few months than you would in years at a large, entrenched technology company.
  • Be empowered by data and AI: We believe Data and AI will play an outsized role in the future of sales and decision-making. Every CityZen has access to generative AI tools and our full data universe to enhance productivity and encourage experimentation.
  • Grow with intention: We invest deeply in our people through in-role coaching, skill-based development, an internal mentorship program, and clear internal promotion pathways.
  • Win as a team: We work hard, we support one another, and we celebrate progress along the way. We're serious about solving infrastructure and just as serious about enjoying the journey together.

Citylitics is an equal opportunity employer. We are passionate about providing a safe workplace where everyone is accepted and has the opportunity to grow with us. We are committed to making diversity and inclusivity part of our culture!