Become a key player at Clio as a Data Engineer in Toronto, where you'll build data pipelines and enhance accessibility for partner teams. With a focus on AWS technologies and creative problem-solving, this hybrid role encourages collaboration and technical advancement. Clio is seeking a talented Data Engineer to join our growing team in Toronto, with the intention of working in our office twice a week.

You will craft data ingestion processes using best practices and help design transformation pipelines that integrate diverse data sources. This position requires proficiency in coding, particularly in Python or Scala, and an eagerness to work with cutting-edge technologies. Key Responsibilities:
Implement data ingestion using AWS technologies
Design and build robust data transformation pipelines




Collaborate on best practices for data integrity and validation
Develop prototypes for unproven technical solutions
Maintain documentation and analysis of data processes Requirements:
Experience in software development and data engineering
Proficient in Python, Scala, or Ruby and SQL
Knowledge of AWS and Terraform beneficial
Familiarity with Spark, Kafka, and Airflow
Robust communication skills in uncertain environments Elevate your data engineering skills while enhancing Clio's capabilities through cutting-edge data solutions in our Toronto office.

📌 Data Engineer In Toronto Offices
🏢 Clio
📍 Toronto