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, robust 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 recent 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.

📌 Data Engineer At Citylitics Inc Toronto
🏢 Citylitics
📍 Toronto