3 days ago
Base Salary
$98k - $159k/yr
Responsibilities
- Design and develop complex data models, ETL jobs, ingestion processes, business rules, and data lifecycle solutions.
- Perform data profiling, quality analysis, metadata enrichment, lineage management, and data governance activities.
- Build and support data solutions for AI/ML workloads, including GenAI and agentic applications.
- Analyze business and data requirements and communicate complex technical designs to non-technical partners.
- Support development, testing, issue resolution, release management, code deployment, and post-implementation activities.
- Maintain compliance with enterprise data standards, policies, security practices, and applicable regulatory guidelines.
- Lead data engineering initiatives, architecture reviews, and improvements to engineering capabilities and patterns.
- Mentor and enable team members while collaborating across technology, QA, architecture, infrastructure, and business teams.
Requirements
- A degree, postgraduate degree, or technical certificate in Data Management or a related discipline such as Computer Science or Engineering, or equivalent practical experience.
- At least 5 years of relevant experience.
- At least 5 years of experience with hands-on data engineering using Azure and Databricks.
- Advanced proficiency in Python, SQL, Spark, and PySpark.
- Understanding of batch and streaming processing, dimensional modeling, Lakehouse architecture, and distributed processing.
- Hands-on experience developing GenAI or agentic applications and experience with Databricks Genie, AI/BI, MLflow, vector search, RAG, or comparable technologies.
- Experience engineering data for AI/ML workloads is required; financial-services or other highly regulated industry experience is preferred.
- Ability to perform complex technical work independently, act as a subject matter expert, lead initiatives, and mentor team members.
Benefits
- Base salary range is $98,160-$159,270 USD, with potential variable compensation or incentive awards.
- Benefits include health and well-being programs, savings and retirement plans, paid vacation, flex and holiday PTO, banking benefits and discounts, career development, mentoring, training, and recognition programs.
- The role is based in Mount Laurel, New Jersey, United States, with 40-hour work weeks.
- Domestic travel is occasional and international travel is never required; the role involves continuous sedentary work, sitting, multitasking, office-equipment use, concentration, and reading or writing.
- TD provides onboarding and training, regular career and performance conversations, an online learning platform, and workplace accommodations.
Tech Stack
Categories
Data Engineering
About TD bank
TD Bank Group provides retail and commercial banking, credit cards, mortgages, wealth management, insurance, and capital-markets services to consumers, businesses, and institutional clients. Headquartered in Toronto and founded in 1955, it operates across Canada and the eastern United States. The company generates revenue from interest income, fees, and trading activities and is publicly traded on the TSX and NYSE under the symbol TD.