Role Overview
TD is hiring a mid-level Data Engineer II: Build Scalable Pipelines on Azure. This is a full-time role in CA. Part of TD's Data Engineering hiring. The posted range is $82k to $115k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A leading financial institution is seeking a skilled data engineer to manage data modeling, ingestion, and governance. The role involves collaborating across multiple teams and requires strong experience in SQL and Python, utilizing tools like Azure Databricks and Azure Data Factory. This position offers a salary range of $81,600 to $115,200 CAD, with growth opportunities and a focus on skill development within a supportive work environment.
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Frequently Asked Questions
How do I apply for the Data Engineer II: Build Scalable Pipelines on Azure position at TD?
Use the Apply button above to submit your application directly to TD. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Engineer II: Build Scalable Pipelines on Azure position at TD located?
This position is based in CA. TD has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Data Engineer II: Build Scalable Pipelines on Azure role at TD pay?
TD has posted a compensation range of $82k to $115k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Data Engineer II: Build Scalable Pipelines on Azure role at TD posted?
This role was posted on March 23, 2026 (77 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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