Data Engineer III (US)

TD Bank is seeking a Data Engineer III to support complex, end-to-end data engineering work within the Technology Solutions organization. This onsite role in Mount Laurel, NJ focuses on building and improving data capabilities across platforms and journeys, with deep ownership of data modeling, ingestion, ETL, metadata, and lineage.

As a primary subject matter expert across multiple related data management areas, you will perform highly complex technical tasks independently, coordinate with partner teams, and help deliver reliable data solutions that align with enterprise standards and regulatory expectations.

Responsibilities

• Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
• Maintain expert knowledge of upstream data through data profiling, data quality reporting, and metadata production
• Support data acquisition and ingestion
• Articulate complex, large-scale technical design and development details to non-technical business partners
• Elicit, analyze, and understand business and data requirements to develop business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata
• Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
• Develop and maintain complex data models using industry-standard modeling tools
• Develop and maintain complex ETL jobs and frameworks using the Bank’s standard tools
• Support development and testing teams to resolve data issues, including escalation support on complex issues
• Support partners and stakeholders in interpreting and analyzing data
• Build effective working relationships within your pod and across partner teams to support collaboration on deliverables
• Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect, and others to support delivery success
• Support QA efforts with data analysis and investigations of complex issues and test cases as part of SIT/UAT/PAT testing
• Provide oversight on post-implementation activities during the warranty period
• Execute and approve code check-in/check-out into the source code repository as part of source code management
• Partner with ITS/ARE teams to support code packaging and deployment (CI & CD) into higher environments
• Lead participation in design and architecture reviews or application reviews
• Raise ServiceNow requests and work with change management to support release management activities
• Lead data engineering initiatives and capabilities, including data governance principles across the organization
• Ensure metadata and data lineage are captured and compatible with enterprise metadata and data management tools and processes
• Adhere to and contribute towards standard security coding practices to reduce common coding vulnerabilities
• Identify and document technical decisions, technical risks, and lessons learned, and implement enhancements accordingly
• Protect organizational interests by identifying and managing risks and escalating non-standard, high-risk activities as necessary
• Adhere to internal policies/procedures and applicable regulatory guidelines
• Keep current on emerging trends and developments, and grow knowledge of the business and related tools and techniques
• Enable team members through knowledge sharing and engineering best practices, including mentoring and cross training
• Participate in personal performance management and development activities, and communicate project status and relevant information
• Lead, motivate, and develop relationships with internal and external business partners and stakeholders to build productive working relationships
• Contribute to a fair, positive, and equitable environment that supports a diverse workforce
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

Requirements

• Degree, Postgraduate Degree, or Technical Certificate in Data Management or a related discipline (e.g., Computer Science, Engineering), or equivalent practical experience
• Graduate degree preferred
• 5+ years of relevant experience
• 5+ years of hands-on experience using SQL and Python to develop, analyze, and optimize data-driven solutions
• 5+ years of experience in data modeling, including designing, developing, and maintaining basic data models aligned to business and technical objectives
• 5+ years of hands-on experience with enterprise relational database platforms, such as SQL Server, Synapse Dedicated Pool, or Oracle
• 3+ years of experience championing knowledge growth, best practices, and platform support for Unity Catalog and Databricks Lakehouse solutions across technical teams
• Experience analyzing and performance tuning SQL queries
• Good experience in Banking/Financial Domain
• Strong analytical and problem-solving abilities to troubleshoot and resolve database-related issues

Technologies

• SQL, Python
• Data modeling
• SQL Server, Synapse Dedicated Pool, Oracle
• Unity Catalog, Databricks Lakehouse
• ETL
• CI & CD
• ServiceNow

Benefits

• Health and well-being benefits
• Savings and retirement programs
• Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
• Banking benefits and discounts
• Career development
• Reward and recognition
• Base salary and variable compensation/incentive awards (eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan)
• Total Rewards package includes base salary and variable compensation/incentive awards and several other key plans

Location: Mount Laurel, NJ, United States (onsite)

Hours: 40

Pay: USD 98,160 - 159,270 per year; base pay offered may vary based on skills, experience, job-related knowledge, geographic location, and other business needs

Line of Business: Technology Solutions

Work Location & Travel

• Domestic Travel: Occasional
• International Travel: Never

Physical Requirements

• Performing sedentary work: Continuous
• Performing multiple tasks: Continuous
• Operating standard office equipment: Continuous
• Sitting: Continuous
• Standing: Occasional
• Walking: Occasional
• Responding quickly to sounds: Occasional
• Moving safely in confined spaces: Occasional
• Lifting/Carrying (under 25 lbs.): Occasional
• Lifting/Carrying (over 25 lbs.): Never
• Squatting: Occasional; Bending: Occasional; Kneeling/Crawling/Climbing: Never
• Reaching overhead/forward/overhead: Never/Occasional (as specified); Reaching forward: Occasional
• Pushing/Pulling/Twisting: Never
• Concentrating for long periods, applying common sense, and reading/writing/comprehending instructions: Continuous
• Adding, subtracting, multiplying, and dividing: Continuous