Junior Data Engineer

Overview

On Site
$80000.0000 - $90000.0000
Full Time

Skills

Data Engineering
Data
Python
AWS
SQL
Capital markets
Financial markets
Data and analytics
Fulltime
Ontario
Toronto
Hybrid

Job Details

Position Details:


Title: Junior Data Engineer


Duration: Full-time, Permanent


Location: Toronto, ON- Hybrid 3x/week in office


Start Date: ASAP


Compensation and Benefits: $80-$90k & Benefits: Standard health, dental, vacation, and personal day package (aligned with firm policy)


Interview Process: 3 Rounds- Virtual and Inperson


Day-to-Day Responsibilities:



  • Design, build, and maintain data pipelines that integrate data from multiple sources (Bloomberg, Morningstar, Nasdaq, etc.).

  • Support production systems, troubleshoot data issues, and automate workflows to increase efficiency.

  • Enforce data governance and data quality standards in collaboration with internal stakeholders.

  • Partner with data scientists, analysts, and product teams to ensure smooth delivery of data products.

  • Participate in code reviews, documentation updates, and continuous improvement initiatives.

  • Perform data analysis on structured and unstructured datasets to identify insights and issues.

  • Stay current on modern data engineering tools, frameworks, and cloud technologies.


Must-Haves:



  • Bachelor s degree or college diploma in Computer Science, Engineering, or related field ideally from University of Waterloo, University of Toronto, or Queen s University

  • 2 3 years of hands-on data engineering experience (entry level candidates with strong co-op or project experience will also be considered).

  • Strong programming skills in Python and SQL.

  • Hands-on experience with AWS Data & Analytics stack: EMR, Glue, Lake Formation, Airflow, PySpark, Trino, Hudi, Iceberg.

  • Understanding of Big Data concepts: change data capture, data quality, and data lineage.

  • Familiarity with data governance principles.

  • AWS Certified Data & Analytics Specialty (or equivalent).


Nice-to-Haves / Plusses:



  • Experience with sustainable investing or ESG datasets.

  • Prior experience in financial services, investment management, or capital markets.

  • Familiarity with market data vendors (Bloomberg, Capital IQ, S&P, Morningstar).

  • Exposure to Scala or additional data engineering frameworks.

  • Understanding of enterprise data architecture and governance frameworks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.