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Added 2 mins ago
Senior Product Manager, Applied AI
Coursera
Canada
We are looking for a Senior Product Manager, Applied AI to own customer deployments from initial discovery and product scoping through delivery, adoption, and value realization.
Added 2 mins ago
Inside Sales Representative-Small Business Solutions (Hybrid)
ADP
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Full-time
Prospect, engage, and convert decision‑makers (small business owners, HR, payroll, and finance leaders) using a consultative B2B sales approach to build and grow a book of business.
Added 2 mins ago
Director, Capital Markets & Investor Relations
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Tsuu T'Ina Nation 145, AB · Calgary, Alberta
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Added 17 mins ago
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Senior Manager, Enterprise Data Quality Management
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Toronto, ON
Full-time
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Added 17 mins ago
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Added 31 mins ago
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Added 31 mins ago
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Added 31 mins ago
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We are seeking an experienced Financial Leader that can work with various stakeholders within the Finance and Accounting function as well as our Customer Service organization. This…
Added 46 mins ago
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Added 47 mins ago
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Standardized Job Template
Float
Remote, Canada
$120,000 to $150,000 CAD / year
Full-time · Remote
We're hiring a Field Marketing Manager to build a field function at Float that is measured on pipeline and revenue, not events delivered. You'll own account-based programmes for our top…

Data Engineer II (Production Support)

Toronto, ON, Canada

Pay: $81,600 - $115,200 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.
Job type: Full-time
Apply by: Oct 6, 2026
Experience: 3-5 years of relevant experience
Posting language: English
Posted: Sep 30, 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 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.

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.

KEY ACCOUNTABILITIES:

Monitoring and supporting production data pipelines, workflows, and platform operations.
Troubleshooting Databricks jobs, notebooks, clusters, and data processing issues.
Performing data quality investigations, reconciliations, and root cause analysis.
Managing production incidents, defects, and operational issues through resolution.
Supporting production deployments, PAT validation, release activities, and post-deployment validation.
Partnering with DevOps, Infrastructure, and Production Support teams to ensure platform stability and service reliability.
Developing operational runbooks, monitoring processes, and support documentation.
Driving continuous improvement initiatives to enhance system performance, resiliency, and supportability.

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
Databricks / Spark
Azure Data Platform (ADLS, ADF, Azure SQL)
Python / Pyspark
CI/CD and DevOps practices
Dynatrace
Stakeholder communication

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 role involves monitoring and supporting production data pipelines, workflows, and platform operations. It also includes troubleshooting data processing issues and managing production incidents through resolution.

Requirements

Candidates must have 3-5 years of relevant experience and a degree or technical certificate in a data-related discipline. Proficiency in Databricks, Spark, Azure, and Python is required.

Skills

Data engineering
Data modeling
Data quality
Data profiling
ETL
Databricks
Spark
Azure Data Platform
ADLS
ADF
Azure SQL
Python
Pyspark
CI/CD
DevOps
Dynatrace

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
Production Support
Data Modeling
Data Quality
Data Profiling
ETL
Metadata Management
Databricks
Spark
Azure Data Platform
ADLS
ADF
Azure SQL
Python
Pyspark
CI/CD
DevOps
Dynatrace
Runbooks
Root Cause Analysis
Production Deployments
Data Provenance
Data Lineage
Infrastructure
Service Reliability

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