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Added 11 mins ago
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Data Engineer Intern/Co-op (Winter 2027)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Role Type:

Internship/Co-op

Work Term:

Winter/Term 2

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Pay Details:

47500 - 74400 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

PREFERRED CANDIDATE IDENTIFIED

DEPARTMENT OVERVIEW

Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

Leadership talks with key Leaders from across the organization
Lunch and Learns on topics such as Innovation
Diversity and Inclusion and Personal Branding and so much more

JOB DESCRIPTION

You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may vary by area. They may include, but are not limited to the following:

Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
Design, develop and deploy system enhancements
Perform Unit and System Integration tests
Document system deployment plans for system implementation and code deployment
Participate in Proof-of-Concept (POC) on new technologies and document findings
Provide recommendations with full usability analysis
Perform root-cause analysis and resolution of application defects
Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery

JOB REQUIREMENTS

Currently enrolled in a relevant technology program, such as Computer Science, Engineering, Information Technology Management, Computing, etc.
Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
Test Data Tools Knowledge (CA TDM or Delphix)
Familiarity with source code management such as GIT
Familiarity with Jira and Confluence
A thirst for constantly exploring emerging technology
Skills that would be an asset, but not required
- Familiarity with RDBMS, Big data
- Familiarity with Data Warehousing, ETL, ELT concepts
- Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
- Interest or aptitude in Financial Systems and the Financial Industry
- Familiarity with Cloud technology (Azure, AWS, GCP)

ADDITIONAL INFORMATION

Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided. Additionally, we are open to all years of study but primarily target 3rd & 4th year students.

Early Talent Requirements

This position is a 4-month work term and will commence January 4, 2027- April 23, 2027.
Applications must include a resume (maximum of 2 pages) and a school transcript
Must be enrolled in an undergraduate/ graduate degree (requirement of all co-op/intern positions)
We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (4 days per week in office).

Assigned Line of Business Requirements

Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

HOURS

Monday-Friday, standard business hours

INCLUSIVENESS

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

The intern will work within the Technology group on TD's big data platform, performing development tasks and system enhancements. Responsibilities include testing, debugging, documenting deployment plans, and participating in proof-of-concept projects for new technologies.

Requirements

Candidates must be currently enrolled in a relevant undergraduate or graduate technology program, such as Computer Science or Engineering. Proficiency or familiarity with technologies like Java, Python, or SQL and experience with data management concepts are required.

Skills

Java
Scala
Python
Pyspark
SQL
Data modelling
Database development
Git
Jira
Confluence
Big data
Data warehousing
ETL
ELT

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Internship
Co-op
Big Data
DaaS
SDLC
PMLC
Java
Scala
Python
Pyspark
SQL
Data Masking
Data Virtualization
Git
Jira
Confluence
RDBMS
Data Warehousing
ETL
ELT
Pandas
Numpy
Scikit-learn
Matplotlib
Ruby
Linux
Azure
AWS
GCP

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