Data Engineer at University

University of Toronto
Toronto, CA; US
On-site

Why this role

Pace
Steady
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • manage complex data infrastructures
  • optimize database software for performance and efficiency
Typical background
Bachelor’s or Master’s in Computer Science or related field

Transferable backgrounds

Skills & requirements

Required

ETL/ELT pipelinesdatabase managementSQLPythonAWSAzure

Preferred

data warehousing solutions

Stack & domain

SqlPythonEtl toolsDatabase managementAiMaterials science

About the role

Join the University of Toronto's Acceleration Consortium as a Data Engineer. Manage complex data infrastructures to support groundbreaking research in AI and materials science while optimizing ETL/ELT processes.

This full-time position reports directly to the Executive Director and collaborates closely with Research Associates. The Data Engineer will utilize their expertise in ETL/ELT pipelines, database management, and programming to enhance research initiatives. Key responsibilities include business requirements reconciliation, database optimization, and software design for complex…

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