Data Engineer III (US)

TD Bank • Mount Laurel, NJ

2d • Onsite

About The Position

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. This role requires 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. The Data Engineer III performs highly complex technical tasks independently and possesses expert knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards. They design and develop to meet business and technical requirements; analyze, adapt, integrate, code, test, debug, and execute. They use and evolve established patterns to solve complex problems and lead the development of new patterns where necessary. This role is recognized as a primary subject matter expert in multiple areas directly and indirectly related to key accountabilities and consults with peers and partners across multiple teams on all aspects of research, analysis, design, and support.

Requirements

• Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience.
• 5+ years of relevant experience.
• 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.
• 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.
• Consults with peers and partners across multiple teams on all aspects of research, analysis, design, and support.

Nice To Haves

• Graduate Degree preferred.
• Proficiency in SQL and Python.
• Understanding of Data Models and ability to create Basic Data Models.
• Experience in analyzing and performance tuning SQL queries.
• Good experience in Banking/Financial Domain.
• Strong analytical and problem-solving abilities to troubleshoot and resolve database-related issues.
• Strong experience with relational databases such as SQL Server, Synapse Dedicated Pool, or Oracle.
• Drive to uplift knowledge and support for Unity Catalog and Databricks Lakehouse.

Responsibilities

• 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.
• Performs highly complex technical tasks independently.
• 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.
• Consults with peers and partners across multiple teams on all aspects of research, analysis, design, and support.
• Participates 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.
• Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit.
• Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques.
• Participates in personal performance management and development activities, including cross training within own team.
• Keeps 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.
• Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices.
• Supports the team by providing guidance and proactively identifying and resolving issues.
• Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships.
• Contributes to a fair, positive and equitable environment that supports a diverse workforce.

Benefits

• Base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan).
• 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.
• Reward and recognition.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree