# Data Engineer III (US) at TD Bank

TD Bank is hiring a Data Engineer III (US). Level rates it Little AI ●○○○; you can [apply on TD Bank](https://jobsbylevel.com/go/505bfad1-729c-4bda-b1c1-4176da64cc19?utm_medium=ai-agent).

AI Level 1, AI centrality 34 out of 100. Mount Laurel, New Jersey.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 1 (score 34 out of 100)
- Location: Mount Laurel, New Jersey
- Posted: November 2, 2026
- Apply: https://jobsbylevel.com/go/505bfad1-729c-4bda-b1c1-4176da64cc19?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-iii-us-at-td-bank-3e620e

## 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 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-iii-us-at-td-bank-3e620e

Source: https://jobsbylevel.com/jobs/data-engineer-iii-us-at-td-bank-3e620e

## Cite this page

Level. https://jobsbylevel.com/jobs/data-engineer-iii-us-at-td-bank-3e620e.

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