Archived listing. The details below describe a past opening.
Work Location:
Mount Laurel, New Jersey, United States of America
Hours:
40
Pay Details:
$98,160 - $159,270 USD
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.
Line of Business:
Technology SolutionsJob Description:
The Data Engineer III provides 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.
Depth & Scope:
- Expert knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact and integrate with other technology areas such as Architecture or Infrastructure
- Performs highly complex technical tasks independently
- Expert knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards
- Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes
- Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary
- Recognized as primary subject matter expert in multiple areas directly and indirectly related to key accountabilities
- Consults with peers and partners across multiple teams on all aspects of research, analysis, design, and support
Education & Experience:
- Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
- Graduate Degree preferred
- 5+ years of relevant experience
Preferred Qualifications:
5+ years of experience with the following:
- Azure Databricks: Hands-on experience designing, developing, optimizing, and supporting notebooks, transformations, and scalable data-processing workloads in enterprise environments.
- PySpark: Strong proficiency designing distributed data transformations and processing large-scale datasets using Apache Spark, including performance optimization and troubleshooting.
- SQL: Advanced ability to write, optimize, and troubleshoot complex queries, transformations, data-validation logic, and performance-intensive workloads.
- Azure Data Factory (ADF): Experience designing, developing, scheduling, monitoring, and troubleshooting enterprise-grade ingestion and orchestration pipelines.
- Big Data, ETL, and Data Engineering: Strong understanding of data-integration patterns, batch and streaming processing, pipeline design, performance, scalability, reliability, and production support.
- GitHub or Bitbucket: Proficiency with source control, branching strategies, pull requests, code reviews, versioning, and collaborative engineering practices.
- Analytical and problem-solving skills: Demonstrated ability to investigate complex data and application issues, perform root-cause analysis, evaluate solution options, and implement sustainable solutions.
3+ years of experience with the following:
- Delta Lake: Experience implementing reliable lakehouse solutions, including table design, schema management, data versioning, performance optimization, and scalable data operations.
- Unity Catalog: Experience with centralized data governance, access controls, metadata management, lineage, and data discovery across Databricks environments.
- CI/CD and DevOps practices: Experience designing or implementing automated build, test, deployment, and promotion processes for data pipelines, notebooks, and related data-engineering components.
- Data governance and lineage: Experience applying metadata management, data catalogs, lineage, data-quality controls, critical data elements, and enterprise governance standards.
- Cloud migration and modernization: Experience delivering initiatives that migrate or modernize legacy data platforms, pipelines, and workloads to cloud-based architectures.
2+ years of technical leadership experience:
- Lead / Tech Lead / Senior Engineer: Demonstrated experience operating as a Lead Engineer, Technical Lead, Senior Engineer, or equivalent senior technical role, providing technical direction and guidance to engineering teams.
- Experience leading solution design, technical implementation, code reviews, engineering standards, troubleshooting, and production-readiness activities.
- Ability to mentor engineers, drive engineering best practices, coordinate across technical and business teams, and take ownership of complex deliverables from design through production.
Nice to Have:
- 2+ years of Data Product development experience: Experience designing, building, and supporting reusable, governed, and production-grade Data Products for consumption by analytics, reporting, applications, or downstream data consumers.
- Experience defining and implementing data contracts, quality expectations, metadata, lineage, SLAs/SLOs, and ownership models for Data Products.
- Experience building Data Products using modern cloud and lakehouse technologies such as Azure Databricks, Delta Lake, Unity Catalog, PySpark, and Azure Data Factory.
Customer Accountabilities:
- Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
- Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
- Supports the acquisition and ingestion of data
- Articulates complex, large scale, and high impact technical design and development details to non-technical business partners
- Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata
- Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines
- Develops and maintains complex data models using industry standard modeling tools
- Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools
- Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues
- Supports partners and stakeholders in interpreting and analyzing data
- Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables
Shareholder Accountabilities:
- Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success
- Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing
- Provides oversight on post implementation activities during the warranty period
- Executes & approves code check-in/ check-out into source code repository as part of source code management
- Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments
- Is the lead participant in the design & architecture reviews or the application
- Raises service-now requests and works with the change management team to support release management activities
- Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization
- Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
- Adheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities
- Ensures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented
- Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessary
- Adheres to internal policies/procedures and applicable regulatory guidelines
- Keeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques
- Enables team members by sharing knowledge and leveraging engineering best practices
Employee/Team Accountabilities:
- Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest
- Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit
- Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques
- Participates in personal performance management and development activities, including cross training within own team
- Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities
- Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices
- Supports the team by providing guidance and proactively identifying and resolving issues
- Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
- Contributes to a fair, positive and equitable environment that supports a diverse workforce
- Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
- Domestic Travel – Occasional
- International Travel – Never
- Performing sedentary work – Continuous
- Performing multiple tasks – Continuous
- Operating standard office equipment - Continuous
- Responding quickly to sounds – Occasional
- Sitting – Continuous
- Standing – Occasional
- Walking – Occasional
- Moving safely in confined spaces – Occasional
- Lifting/Carrying (under 25 lbs.) – Occasional
- Lifting/Carrying (over 25 lbs.) – Never
- Squatting – Occasional
- Bending – Occasional
- Kneeling – Never
- Crawling – Never
- Climbing – Never
- Reaching overhead – Never
- Reaching forward – Occasional
- Pushing – Never
- Pulling – Never
- Twisting – Never
- Concentrating for long periods of time – Continuous
- Applying common sense to deal with problems involving standardized situations – Continuous
- Reading, writing and comprehending instructions – Continuous
- Adding, subtracting, multiplying and dividing – Continuous
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.
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 base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as 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, and reward and recognition. 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.
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 TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.
