Transform infrastructure data at Citylitics Inc. as a Data Engineer in Toronto. Utilize your skills in Python and SQL to build AI-driven pipelines and data models. Join a cooperative team focused on improving public infrastructure through predictive intelligence.

As a Data Engineer, you will design and manage data pipelines leveraging GCP services like BigQuery and Cloud Composer. This hybrid role allows for impactful work with a robust emphasis on collaboration, data modeling, and cutting-edge AI workflows. Key Responsibilities:
Lead the development of reliable data pipelines using Airflow
Design scalable data models in partnership with stakeholders
Build AI workflows for structured data from raw documents
Implement continuous improvements to data infrastructure
Collaborate closely with product and analyst teams Requirements:
Proficient in Python and SQL
3+ years of Data Engineer experience
Experience with Airflow and BigQuery production pipelines
Solid understanding of data modeling and ETL/ELT
Familiar with LLM APIs and cloud platforms (GCP preferred) Bring your expertise in data engineering and AI to create impactful solutions at Citylitics Inc.

📌 Data Engineer With Ai Expertise Toronto
🏢 Citylitics
📍 Toronto