# Data/AI Engineer III (US) at TD Bank

TD Bank is hiring a Data/AI Engineer III (US). Level rates it Little AI ●○○○; you can [apply on TD Bank](https://jobsbylevel.com/go/c426b25a-886d-42f2-b169-4d4b1e95de56?utm_medium=ai-agent).

AI Level 1, AI centrality 35 out of 100. Mount Laurel, New Jersey.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 1 (score 35 out of 100)
- Location: Mount Laurel, New Jersey
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/c426b25a-886d-42f2-b169-4d4b1e95de56?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-ai-engineer-iii-us-at-td-bank-cd3a67

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-ai-engineer-iii-us-at-td-bank-cd3a67

## Description

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 Solutions Job 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 each of the following: Strong hands-on data engineering experience with Azure and Databricks . Advanced proficiency in Python, SQL, Spark/PySpark . Understanding of batch, streaming, dimensional modeling, Lakehouse architecture, and distributed processing. Hands-on experience developing GenAI or agentic applications . Experience with Databricks Genie, AI/BI, MLflow, vector search, RAG, or comparable technologies . Experience engineering data for AI/ML workloads. Experience within financial services or another highly regulated industry. 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-ai-engineer-iii-us-at-td-bank-cd3a67

Source: https://jobsbylevel.com/jobs/data-ai-engineer-iii-us-at-td-bank-cd3a67

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Level. https://jobsbylevel.com/jobs/data-ai-engineer-iii-us-at-td-bank-cd3a67.

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