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Added 9 mins ago
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Data Engineer II

Toronto, ON, Canada

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Oct 10, 2026
Experience: 3-5 years of relevant experience
Posting language: English
Posted: Sep 28, 2026

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Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$81,600 - $115,200 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:

Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions.

CUSTOMER

Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
Maintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
Support the acquisition and ingestion of data
Articulate complex, large scale, and high impact technical design and development details to non-technical business partners
Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata
Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
Develop and maintain complex data models using industry standard modeling tools
Develop and maintain complex ETL jobs and frameworks using the Bank's standard tools
Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues
Support partners and stakeholders in interpreting and analyzing data
Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables

SHAREHOLDER

Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success
Support the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing
Provide oversight on post implementation activities during the warranty period
Execute & approve code check-in/ check-out into source code repository as part of source code management
Work closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments
Be the lead participant in the design & architecture reviews or the application
Raise service-now requests and work with the change management team to support release management activities
Lead data engineering initiatives and capabilities, data governance principles and how they apply across the organization
Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
Adhere & contribute towards standard security coding practices to ensure application is free of most common coding vulnerabilities
Ensure technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented
Protect the interests of the organization – identify and manage risks, and escalate non-standard, high-risk activities as necessary
Adhere to internal policies/procedures and applicable regulatory guidelines
Keep current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques
Enable team members by sharing knowledge and leveraging engineering best practices.

EMPLOYEE / TEAM

Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
Provide thought leadership and/ or industry knowledge for Data engineering best practices and participate in knowledge transfer within the team and business unit
Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
Participate in personal performance management and development activities, including cross training within own team
Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices.
Supports the team by providing guidance and proactively identifying and resolving issues
Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
Contribute to a fair, positive and equitable environment that supports a diverse workforce
Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH

Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure
Performs complex technical tasks independently
Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards
Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes
Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary
May be recognized as a subject matter expert in areas directly related to key accountabilities
Generally reports to a Practice Lead

EXPERIENCE AND / OR EDUCATION

Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
3-5 years of relevant experience

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 Data Engineer II will perform data engineering functions including data modeling, ETL development, and metadata management to support business solutions. They will also lead data engineering initiatives, ensure compliance with enterprise standards, and collaborate with cross-functional teams to resolve complex data issues.

Requirements

Candidates must possess a degree or technical certificate in Data Management, Computer Science, or a related discipline. A minimum of 3-5 years of relevant experience in data engineering frameworks and technologies is required.

Skills

Data engineering
Data modeling
Data quality
Data profiling
ETL
Metadata management
Data lineage
Data acquisition
Data ingestion
SQL
CI/CD
Source code management
Technical design
Data governance
Risk management

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 Engineering
Data Modeling
ETL
Data Quality
Data Profiling
Metadata
Data Lineage
Data Governance
CI/CD
Source Code Management
Entity Relationship Diagrams
Dimensional Data Models
Service-Now
Risk Management
Data Lifecycle Management
Architecture
Infrastructure
Data Acquisition
Data Ingestion
Technical Design
Banking
Financial Services
SIT
UAT
PAT
Security Coding
Data Provenance
Business Intelligence
Data Analysis
Technology Solutions

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