Data Engineer II (Production Support)

TD; Toronto; On-site; CAD 82,000 - 115,000; Full time

Job summary

TD is seeking a Data Engineer to design, implement, and optimize data pipelines in Toronto, Ontario. You will work with Databricks, PySpark, and Azure data services to ensure data quality and reliable ingestion.

Key responsibilities include monitoring production pipelines, troubleshooting jobs, supporting deployments, and driving continuous improvement with DevOps, Infrastructure, and Production Support teams.

Qualifications

• Degree or higher in Data Management, Computer Science, Engineering, or equivalent.
• 3-5 years of relevant experience.
• Experience with Databricks / Spark.
• Experience with Azure Data Platform (ADLS, ADF, Azure SQL).
• Proficiency in Python / PySpark.
• Knowledge of CI/CD and DevOps practices.
• Experience with Dynatrace.
• Strong stakeholder communication skills.

Responsibilities

• Monitor and support production data pipelines, workflows, and platform operations.
• Troubleshoot Databricks jobs, notebooks, clusters, and data processing issues.
• Perform data quality investigations, reconciliations, and root cause analysis.
• Manage production incidents, defects, and operational issues through resolution.
• Support production deployments, PAT validation, release activities, and post-deployment validation.
• Partner with DevOps, Infrastructure, and Production Support teams for stability.
• Develop operational runbooks, monitoring processes, and support documentation.
• Drive continuous improvement to enhance performance, resiliency, and supportability.

Skills

Databricks / Spark

Python / Pyspark

CI/CD and DevOps practices

Dynatrace

Stakeholder communication

Education

Data Management or related discipline degree

Tools

Azure Data Platform (ADLS, ADF, Azure SQL)

Job description

Work Location

Toronto, Ontario, Canada

Hours

37.5

Line Of Business

Technology Solutions

Pay Details

$81,600 - $115,200 CAD

This 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.

Language Requirement (Quebec Only)

Sans Objet