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Student, Data Engineer (Fall 2024)

Logo of Sun Life

Sun Life


🚀 Off-cycle Internship

Waterloo +1

4d left

AI generated summary

  • You need expertise in cloud environments, programming languages like Python, Spark, Pandas, data modeling, SQL, presentation software, and agile problem-solving to excel in this Data Engineer role at Sun Life.
  • You will work with a team to develop a new data platform, create data payloads, transform data with Python and SQL, analyze data, conduct data modeling experiments, and create automated test cases.

Off-cycle Internship

DataWaterloo, Toronto


  • Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy. As part of the Data Enablement team within CXO you will play a crucial role in assembling necessary data products that enable our analytics and data science practitioners across Sun Life.
  • Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way.


  • Knowledge of cloud environments (AWS experiences if possible)
  • Understanding of programing languages like Python, Spark, Pandas, etc. that build dataflows
  • Understanding data models (ex. Crow’s feet notation in schemas and UMLs)
  • Good understanding for SQL and data transformation
  • Proven balance of analytical and creative problem-solving skills
  • Good working knowledge of presentation software such as PowerPoint
  • Ability to think with agility in meeting business partners’ demanding deadlines

Area of Responsibilities



  • Work as part of a team of Data Engineers, Business Analysts and Testers creating a new data platform using AWS and other exciting technologies
  • Work with the analytics team to build data payloads to support statistical modeling exercises
  • Using Python and SQL, transform data into data structures that can support research across Sunlife
  • Perform data analysis to support advanced querying
  • Help with data modeling experiments, capture results and interpret findings using test data
  • Create automated test cases to ensure that the data is built correctly


Work type

Full time

Work mode


Application deadline

May 21, 2024


Waterloo, Toronto