Data Engineer I

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$ $61.06 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 I 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:

• Foundational knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
• Performs moderately complex technical tasks independently
• Performs complex technical tasks under general supervision
• Foundational 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 routine problems; contributes to new patterns where necessary

Education & Experience:

• Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
• 2+ years of relevant experience

Customer Accountabilities:

• Performs data analysis and assesses data management requirements for a specific Platform or Journey
• Maintains foundational 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 technical design and development details to non-technical business partners
• Elicits, analyzes, and understands business and data requirements to develop complete business solutions under the guidance of senior peers and managers, 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 data models using industry standard modeling tools
• Develops and maintains ETL jobs using the