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Job Description & How to Apply Below
Work Location:
Toronto, Ontario, Canada
Hours
37.5
Line Of Business
Technology Solutions
Pay Details
$81,600 - $115,200 CAD
This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.
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 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
Position Title:
Senior SQL Developer / Data Engineer
Reporting Line:
Treasury & Balance Sheet Management (TBSM)
TD Bank Group
Headquartered In Toronto, Canada, With More Than 100,000 Employees In Offices Around The World, The Toronto-Dominion Bank And Its Subsidiaries Are Collectively Known As TD Bank Group ("TD"). TD Offers a Full Range Of Financial Products And Services To More Than 26.5 Million Customers Worldwide Through Three Key Business Lines
Canadian Retail including TD Canada Trust, Business Banking, TD Auto Finance, TD Wealth, TD Direct Investing, and TD Insurance
U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance, TD Wealth, and TD’s investment in Schwab
Wholesale Banking through TD Securities
TD had C $2.1 trillion in assets as of April 30, 2025. TD also ranks among the world’s leading online financial services firms, with approximately 14 million active online and mobile customers. The Toronto-Dominion Bank trades on the Toronto and New York stock exchanges under the symbol "TD".
About The Team
The Treasury & Balance Sheet Management (TBSM) Technology team delivers critical data, reporting, and analytics solutions that support Treasury, Finance, Risk, and regulatory functions across TD.
As part of the Reporting Platform team, you will be a key developer supporting a business-critical reporting ecosystem used across TBSM. The platform includes a large-scale SQL data warehouse, data integration services, reporting solutions, and cloud modernization initiatives. You will work closely with business stakeholders, developers, architects, and data specialists across multiple locations to deliver scalable and reliable data solutions.
What You'll Do
Design, develop, and support scalable database solutions, reporting data models, and data pipelines supporting business-critical reporting and analytics.
Develop and optimize complex SQL queries, stored procedures, views, and ETL processes to ensure high performance and reliability.
Perform data modeling, database design, performance tuning, and troubleshooting within large-scale enterprise data environments.
Collaborate with business stakeholders, analysts, and developers to deliver reporting, data integration, and analytics solutions.
Support production investigations, root cause analysis, and ongoing platform enhancements.
Contribute to modernization initiatives involving big data technologies, cloud platforms, automation, and Dev Ops practices.
Apply software engineering best practices including source control, automated testing, CI/CD, and AI-assisted development tools.
Required Qualifications
5+ years of experience in software development, database engineering, data engineering, or related technical disciplines
Strong hands‑on Microsoft SQL Server development experience, including complex SQL development, stored procedures, functions, and database programming.
Experience designing and maintaining scalable data models and enterprise data warehouse solutions.
Expertise in query optimization, performance tuning, indexing strategies, and database performance troubleshooting.
Experience building and supporting ETL, data integration, or data engineering solutions.
Familiarity with Hadoop, Spark, Spark SQL, or other big data technologies.
Experience with CI/CD pipelines, Dev Ops practices, and automated testing frameworks.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent verbal and written…
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