{"id":3757773,"url":"https://alion.io/job/td-bank-group-data-engineer-iii-us-2","title":"Data Engineer III (US)","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,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":316,"ghost_share":0.003,"stale_share":0.266,"repost_share":0.019,"time_to_fill_p50_days":19,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Mount Laurel, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":98160,"max":159270,"currency":"USD","period":"year","gross":null,"usd_annual":159270},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Bitbucket","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"GitHub","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"SLI/SLO/SLA","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"closed","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-09T14:21:40Z","board_verified":false,"closed_at":"2026-11-09T14:21:40Z","days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Work Location:\nMount Laurel, New Jersey, United States of AmericaHours:\n40Pay Details:\n$98,160 - $159,270 USDTD 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.\nLine of Business:\nTechnology SolutionsJob Description:\nThe 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.\nDepth & Scope:\nExpert 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\nPerforms highly complex technical tasks independently\nExpert knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards\nDesigns and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes\nUses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary\nRecognized as primary subject matter expert in multiple areas directly and indirectly related to key accountabilities\nConsults with peers and partners across multiple teams on all aspects of research, analysis, design, and support\nEducation & Experience:\nDegree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience\nGraduate Degree preferred\n5+ years of relevant experience\nPreferred Qualifications:\n5+ years of experience with the following:\nAzure Databricks: Hands-on experience designing, developing, optimizing, and supporting notebooks, transformations, and scalable data-processing workloads in enterprise environments.\nPySpark: Strong proficiency designing distributed data transformations and processing large-scale datasets using Apache Spark, including performance optimization and troubleshooting.\nSQL: Advanced ability to write, optimize, and troubleshoot complex queries, transformations, data-validation logic, and performance-intensive workloads.\n Azure Data Factory (ADF): Experience designing, developing, scheduling, monitoring, and troubleshooting enterprise-grade ingestion and orchestration pipelines.\nBig Data, ETL, and Data Engineering: Strong understanding of data-integration patterns, batch and streaming processing, pipeline design, performance, scalability, reliability, and production support.\nGitHub or Bitbucket: Proficiency with source control, branching strategies, pull requests, code reviews, versioning, and collaborative engineering practices.\nAnalytical and problem-solving skills: Demonstrated ability to investigate complex data and application issues, perform root-cause analysis, evaluate solution options, and implement sustainable solutions.\n3+ years of experience with the following:\nDelta Lake: Experience implementing reliable lakehouse solutions, including table design, schema management, data versioning, performance optimization, and scalable data operations.\nUnity Catalog: Experience with centralized data governance, access controls, metadata management, lineage, and data discovery across Databricks environments.\nCI/CD and DevOps practices: Experience designing or implementing automated build, test, deployment, and promotion processes for data pipelines, notebooks, and related data-engineering components.\nData governance and lineage: Experience applying metadata management, data catalogs, lineage, data-quality controls, critical data elements, and enterprise governance standards.\nCloud migration and modernization: Experience delivering initiatives that migrate or modernize legacy data platforms, pipelines, and workloads to cloud-based architectures.\n2+ years of technical leadership experience:\nLead / 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.\nExperience leading solution design, technical implementation, code reviews, engineering standards, troubleshooting, and production-readiness activities.\nAbility to mentor engineers, drive engineering best practices, coordinate across technical and business teams, and take ownership of complex deliverables from design through production.\nNice to Have:\n2+ 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.\nExperience defining and implementing data contracts, quality expectations, metadata, lineage, SLAs/SLOs, and ownership models for Data Products.\nExperience building Data Products using modern cloud and lakehouse technologies such as Azure Databricks, Delta Lake, Unity Catalog, PySpark, and Azure Data Factory.\nCustomer Accountabilities:\nPerforms data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products\nMaintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata\nSupports the acquisition and ingestion of data\nArticulates complex, large scale, and high impact technical design and development details to non-technical business partners\nElicits, 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\nEnsures data is maintained in compliance with enterprise data standards, policies, and guidelines\nDevelops and maintains complex data models using industry standard modeling tools\nDevelops and maintains complex ETL jobs and frameworks using the Bank's standard tools\nProvides support to the development and testing teams to resolve data issues, including escalation support on complex issues\nSupports partners and stakeholders in interpreting and analyzing data\nBuilds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables\nShareholder Accountabilities:\nCoordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success\nSupports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing\nProvides oversight on post implementation activities during the warranty period\nExecutes & approves code check-in/ check-out into source code repository as part of source code management\nWorks closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments\nIs the lead participant in the design & architecture reviews or the application\nRaises service-now requests and works with the change management team to support release management activities\nLeads data engineering initiatives and capabilities, data governance principles and how they apply across the organization\nEnsures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes\nAdheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities\nEnsures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented\nProtects the interests of the organization - identifies and manages risks, and escalates non-standard, high-risk activities as necessary\nAdheres to internal policies/procedures and applicable regulatory guidelines\nKeeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniques\nEnables team members by sharing knowledge and leveraging engineering best practices\nEmployee/Team Accountabilities:\nParticipates 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\nProvides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit\nKeeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques\nParticipates in personal performance management and development activities, including cross training within own team\nKeeps 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\nActively mentors and enables team members by sharing knowledge and leveraging engineering best practices\nSupports the team by providing guidance and proactively identifying and resolving issues\nLeads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships\nContributes to a fair, positive and equitable environment that supports a diverse workforce\nActs as a brand ambassador for your business area/function and the bank, both internally and/or externally\nPhysical Requirements:\nNever: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%\nDomestic Travel - Occasional\nInternational Travel - Never\nPerforming sedentary work - Continuous\nPerforming multiple tasks - Continuous\nOperating standard office equipment - Continuous\nResponding quickly to sounds - Occasional\nSitting - Continuous\nStanding - Occasional\nWalking - Occasional\nMoving safely in confined spaces - Occasional\nLifting/Carrying (under 25 lbs.) - Occasional\nLifting/Carrying (over 25 lbs.) - Never\nSquatting - Occasional\nBending - Occasional\nKneeling - Never\nCrawling - Never\nClimbing - Never\nReaching overhead - Never\nReaching forward - Occasional\nPushing - Never\nPulling - Never\nTwisting - Never\nConcentrating for long periods of time - Continuous\nApplying common sense to deal with problems involving standardized situations - Continuous\nReading, writing and comprehending instructions - Continuous\nAdding, subtracting, multiplying and dividing - Continuous\nThe 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.\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 ban...","description_format":"text","description_chars":14956,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities","Mentoring programs"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-11-04T17:29:23Z"},{"event":"close","at":"2026-11-09T14:21:40Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":159270,"is_top_pay":true},"html_url":"https://alion.io/job/td-bank-group-data-engineer-iii-us-2","json_url":"https://alion.io/job/td-bank-group-data-engineer-iii-us-2.json","meta":{"generated_at":"2026-11-10T04:40:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10893,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3167},"rest":"https://alion.io/mcp/rest/get_company?id=3167"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftd-bank-group-data-engineer-iii-us-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftd-bank-group-data-engineer-iii-us-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftd-bank-group-data-engineer-iii-us-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/td-bank-group-data-engineer-iii-us-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftd-bank-group-data-engineer-iii-us-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3757773}},{"tool":"search_jobs","arguments":{"company":"td.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3757773},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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