Data Engineer Intern/Co-op​ (Winter 2027)

Type: Internship/Co-op Work Term: Winter/Term 2 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.

DEPARTMENT OVERVIEW Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care. Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features: Leadership talks with key Leaders from across the organization Lunch and Learns on topics such as Innovation Diversity and Inclusion and Personal Branding and so much more JOB DESCRIPTION You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may vary by area. They may include, but are not limited to the following: Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects  Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding  Design, develop and deploy system enhancements Perform Unit and System Integration tests Document system deployment plans for system implementation and code deployment Participate in Proof-of-Concept (POC) on new technologies and document findings   Provide recommendations with full usability analysis Perform root-cause analysis and resolution of application defects Adhere to standard security coding practices to ensure application is free of coding vulnerabilities  Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery JOB REQUIREMENTS Currently enrolled in a relevant technology program, such as Computer Science, Engineering, Information Technology Management, Computing, etc. Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development Test Data Tools Knowledge (CA TDM or Delphix) Familiarity with source code management such as GIT Familiarity with Jira and Confluence A thirst for constantly exploring emerging technology Skills that would be an asset, but not required Familiarity with RDBMS, Big data Familiarity with Data Warehousing, ETL, ELT concepts Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux Interest or aptitude in Financial Systems and the Financial Industry Familiarity with Cloud technology (Azure, AWS, GCP)