{"id":1156746,"url":"https://alion.io/job/td-bank-group-data-engineer-ii-cpb-data-curation","title":"Data Engineer II - CPB Data Curation","company":{"id":3167,"name":"TD Bank Group","domain":"td.com","url":"https://alion.io/company/td-bank","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":316,"ghost_share":0,"stale_share":0.158,"repost_share":0.016,"time_to_fill_p50_days":13,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":141000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Java","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-23T21:54:10Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T04:22:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Work Location:\nToronto, Ontario, CanadaHours:\n37.5Line of Business:\nTechnology SolutionsPay Details:\n$81,600 - $115,200 CADTD 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.\nAs 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.\nJob Description:\nJOB DESCRIPTION SUMMARY\nProvide a broad range of data engineering functions, including data modeling, data quality, data profiling, data acquisition and ingestion, extract, transform and load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions.\nJOB DESCRIPTION\nCUSTOMER\nPerform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.\nMaintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and the production of metadata.\nSupport the acquisition and ingestion of data.\nArticulate complex, large-scale and high-impact technical design and development details to non-technical business partners.\nElicit, analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams and dimensional data models), ETL and business rules, data lifecycle management, governance, lineage and metadata.\nEnsure data is maintained in compliance with enterprise data standards, policies and guidelines.\nDevelop and maintain complex data models using industry-standard modeling tools.\nDevelop and maintain complex ETL jobs and frameworks using the Bank's standard tools.\nProvide support to development and testing teams to resolve data issues, including escalation support for complex issues.\nSupport partners and stakeholders in interpreting and analyzing data.\nAnalyze and understand business and data requirements to develop complete ETL solutions under the guidance of senior peers and tech leads.\nINTERNAL / INTERNE\nBuild effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables.\nSHAREHOLDER\nCoordinate with technology work teams and stakeholders to ensure overall delivery success.\nSupport the QA team with data analysis and investigations of complex issues/test cases as part of SIT/UAT/PAT testing.\nProvide oversight on post-implementation activities during the warranty period.\nExecute and approve code check-in/check-out into the source code repository as part of source code management.\nWork closely with Release Management teams to support code packaging and deployment (CI/CD) into higher environments.\nBe the lead participant in application design and code reviews.\nRaise ServiceNow requests and work with the Change Management team to support release management activities.\nLead data engineering initiatives and capabilities, including data governance principles and how they apply across the organization.\nEnsure metadata and data lineage are captured and compatible with enterprise metadata and data management tools and processes.\nAdhere to and contribute toward standard secure coding practices to ensure applications are free of common coding vulnerabilities.\nEnsure technical decisions, technical risks and lessons learned are identified and clearly documented, with enhancements implemented accordingly.\nProtect the interests of the organization by identifying and managing risks and escalating non-standard, high-risk activities as necessary.\nAdhere to internal policies/procedures and applicable regulatory guidelines.\nINTERNAL / INTERNE\nKeep current on emerging trends/developments and grow knowledge of the business, related tools and techniques.\nEnable team members by sharing knowledge and leveraging engineering best practices.\nEMPLOYEE / TEAM\nParticipate fully as a member of the team and support a positive work environment that promotes service to the business, quality, innovation and teamwork, while ensuring timely communication of issues and points of interest.\nProvide thought leadership and/or industry knowledge for data engineering best practices and participate in knowledge transfer within the team and business unit.\nKeep current on emerging trends/developments and grow knowledge of the business, related tools and techniques.\nParticipate in personal performance management and development activities, including cross-training within own team.\nKeep others informed and up to date about the status/progress of projects and all relevant or useful information related to day-to-day activities.\nActively mentor and enable team members by sharing knowledge and leveraging engineering best practices.\nSupport the team by providing guidance and proactively identifying and resolving issues.\nLead, motivate and develop relationships with internal and external business partners/stakeholders to develop productive working relationships.\nContribute to a fair, positive and equitable environment that supports a diverse workforce.\nAct as a brand ambassador for your business area/function and the Bank, both internally and/or externally.\nBREADTH & DEPTH\nINTERNAL / INTERNE\nAdvanced knowledge of data engineering frameworks, technologies, tools, processes, patterns and procedures, including how they impact other technology areas such as Architecture or Infrastructure.\nPerform complex technical tasks independently.\nAdvanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices and standards.\nDesign and develop to meet business and technical requirements; analyze, adapt, integrate, code, test, debug and execute.\nUse and evolve established patterns to solve complex problems; lead the development of new patterns where necessary.\nMay be recognized as a subject matter expert in areas directly related to key accountabilities.\nEXPERIENCE AND/OR EDUCATION\nHands-on proficiency in Java/PySpark, Python and SQL, with experience in Azure ADB, ADF and Bitbucket (GitHub).\nSolid technical skills in investigating ETL design, optimizing ETL workflows, mitigating risks and ensuring data accuracy-key functions that directly impact business outcomes.\nExperience leveraging GitHub Copilot to enhance development productivity and code quality is an asset.\nDegree, postgraduate degree or technical certificate in Data or a related discipline (e.g., Computer Science, Engineering), or equivalent practical experience.\n3-5 years of relevant experience.\nWho We Are:\nTD 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.\nOur Total Rewards Package\nOur 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\nAdditional Information:\nWe’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.\nPlease 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.\nColleague Development\nIf 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.\nIf 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.\nWe'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.\nTraining & Onboarding\nWe will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.\nInterview Process\nWe’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.\n Accommodation\nYour 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.\nWe look forward to hearing from you!\nLanguage Requirement (Quebec only):\nSans Objet","description_format":"text","description_chars":10307,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Growth opportunities","Mentoring programs"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Banking","Wealth Management"],"lifecycle":[{"event":"open","at":"2026-09-23T21:54:10Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":13,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/td-bank-group-data-engineer-ii-cpb-data-curation","json_url":"https://alion.io/job/td-bank-group-data-engineer-ii-cpb-data-curation.json","meta":{"generated_at":"2026-09-24T06:04:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}