Data Engineer Role in Remote ML Projects

Step into a Data Engineer role specializing in machine learning projects with full remote flexibility from Toronto, Ottawa, or Montreal. Drive advancements in automotive data using your expertise in creating scalable data foundations. Our client requires a seasoned data engineer focused on high-scale, complex datasets to support transformative industrial intelligence. You will play a key role in developing and optimizing data pipelines, ensuring quality and governance while collaborating with ML and business teams. This position demands innovation while translating business requirements into efficient data solutions. Key Responsibilities: • Design scalable data pipelines and ETL processes for varied datasets • Develop Spark-based workflows supporting ML systems • Collaborate with cross-functional teams to define data needs • Ensure security and reliability of data across platforms • Build predictive feature engineering pipelines Requirements: • Minimum 6 years in data engineering or ML pipelines • Expertise in Apache Spark, Databricks, and Airflow • Advanced skills in Python and SQL • Understanding of ETL design patterns and Medallion architecture • Bachelor’s or Master’s in Computer Science or similar Drive data innovation through collaboration and expertise in this dynamic remote role.