Join Citylitics Inc. as a Data Engineer, focusing on data pipelines and AI-driven solutions in a hybrid role based out of Toronto. Utilize your expertise in Python, SQL, and orchestration tools to shape the future of infrastructure investments.

As a Data Engineer, you'll collaborate with analysts and stakeholders to build and maintain mission-critical data products. This role involves designing production pipelines, creating scalable data models, and deploying LLM-powered features. Adaptability, strong technical skills, and effective collaboration are essential as we leverage cutting-edge technologies to drive continuous improvement.

Key Responsibilities:
• Lead the design and maintenance of data pipelines using Airflow
• Develop scalable data models and dashboards collaboratively




• Employ LLMs to transform documents into structured data
• Drive ongoing enhancement of data infrastructure
• Adapt and introduce current technologies and best practices

Requirements:
• 3+ years experience as a Data Engineer in cloud environments
• Proficient in Python, SQL, and data engineering fundamentals
• Experience with BigQuery and Airflow/Cloud Composer
• Proven ability to deploy LLM-powered solutions
• Familiarity with AI coding agents and CI/CD practices

Utilize your data engineering skills to revolutionize infrastructure insights with Citylitics and make a meaningful impact.
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📌 Data Engineer at Citylitics Inc. (Ontario)
🏢 Citylitics
📍 Ontario