Data Engineer II (Production Support)

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: Additional 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

The role involves monitoring and supporting production data pipelines, workflows, and platform operations while troubleshooting Databricks jobs and data processing issues. Additionally, the engineer will manage production incidents, perform root cause analysis, and collaborate with DevOps and infrastructure teams to ensure system stability.

Candidates must possess a degree or technical certificate in a relevant discipline such as Computer Science or Engineering. A minimum of 3-5 years of experience with Databricks, Spark, Azure, and Python is required for this position.

• Health and well-being benefits • Savings and retirement programs • Paid time off • Banking benefits and discounts • Career development • Reward and recognition programs

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data engineering
• Data modeling
• Data quality
• Data profiling
• ETL
• Databricks
• Spark
• Azure Data Platform
• ADLS
• ADF
• Azure SQL
• Python
• Pyspark
• CI/CD
• DevOps
• Dynatrace
• Pipelines
• Stakeholder Communications
• Workflow Management
• Time Off Management
• Resilience
• Microsoft Azure
• Banking
• Financial Institution
• Business Technologies
• Investments
• Computer Science
• Data Processing
• Continuous Improvement Process
• Training And Development
• Creativity
• Data Acquisition
• Data Engineering
• Extract Transform Load (ETL)
• Data Management
• Data Modeling
• Data Profiling
• Data Quality
• Python (Programming Language)
• Learning Platforms
• Mentorship
• Metadata
• Employee Onboarding
• Operational Databases
• Operations
• Program Process Monitoring
• SQL (Programming Language)
• Troubleshooting (Problem Solving)
• Investigation
• Root Cause Analysis

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Engineering
• Production Support Engineer
• Production Engineer
• Industrial and Production Engineers
• Industrial Engineers

Formation minimale

Diplôme professionnel

Expérience minimale

2+ ans

Postuler avant le

9 août 2026

Langue de l’offre

anglais

Heures de travail

38 heures par semaine