Data Engineer II (US)

TD • Mount Laurel, NJ

2d • $74,000 - $127,670

About The Position

The Data Engineer II 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. This Data Engineer role will primarily focus on developing and maintaining data solutions within the Azure cloud environment. The engineer will be responsible for designing, building, and optimizing scalable data pipelines, as well as creating curated, high-quality data assets to support analytics, reporting, and business decision-making. The role requires close collaboration with data analysts, data scientists, and business stakeholders to ensure that data solutions are efficient, reliable, and aligned with organizational goals. Depth & Scope: Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure Performs complex technical tasks independently Advanced 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 May be recognized as a subject matter expert in areas directly related to key accountabilities

Requirements

• Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
• 3+ years of relevant experience
• Experience designing and developing ETL/ELT pipelines
• Proficiency in Python and/or Scala for data processing tasks
• Experience with SQL for querying and transforming data
• Understanding of data modeling principles (dimensional, star/snowflake schema)
• Ability to build curated, reusable datasets for downstream analytics
• Familiarity with Git, DevOps workflows, and deploying pipelines using CI/CD tools (e.g., Azure DevOps)
• Knowledge of data governance, security, and compliance best practices in a cloud environment
• Strong problem-solving and communication skills
• Ability to work independently and collaboratively in cross-functional teams
• Comfortable interacting with business users to understand data needs and translate them into technical solutions
• Strategic thinking, ownership and accountability, Bias for Action, Influencing without Authority, collaboration and cross-Functional Leadership, and growth mindset and adaptability

Nice To Haves

• Solid hands-on experience with Microsoft Azure, to include:
• Azure Data Factory
• Azure Data Lake Storage (Gen2)
• Azure Synapse Analytics
• Azure Databricks
• Azure Functions (for orchestration or automation tasks)
• DP-203, DP-500 and AZ-305. Any Azure certifications are preferred

Responsibilities

• data modeling
• data quality
• data profiling
• data acquisition and ingestion
• extract transform load (ETL)
• metadata enrichment and management
• data provenance and lineage
• developing and maintaining data solutions within the Azure cloud environment
• designing, building, and optimizing scalable data pipelines
• creating curated, high-quality data assets to support analytics, reporting, and business decision-making

Benefits

• 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.
• 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 base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition.
• 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.
• 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.
• We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees