Our growing data engineering team is driven to deliver an incredible experience to our customers. As a Data Engineer at Clio, you will build data pipelines from scratch, as well as make data sets accessible to our partner teams by writing great production code. Implement data ingestion (real time and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools Design, build, and maintain data transformation pipelines consolidating various data sources (streaming or batch) into specific Data Lakes / Data Warehouses Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation Develop prototype or "proof of concept" implementations of projects where the technical solution is unknown or unproven Experience in software development as well as experience in data engineering Experience with cloud infrastructure (AWS preferred, bonus for Terraform) Proficiency in at least one major language (e.g.
Python, Scala, Ruby) and SQL, the drive to write elegant and maintainable code, and desire to pick up new technologies Experience with streaming and batch data tools:
Data warehousing experience working with Databricks or similar Experience building data pipelines and the infrastructure required to deploy data models and dashboards that allow data visualization A keen interest in improving your craft by using AI This posting is for a net new role. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Competitive, equitable salary with top-tier health benefits, dental, and vision insurance ~ Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min.
Flexible time off policy, with an encouraged 20 days off per year. ~$The expected salary range for this role is $119,000 to $161,000 CAD. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an setting where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from.
We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.
📌 Data Architect Data Analytics (Toronto)
🏢 Clio
📍 Toronto