Data Engineer for High-Scale ML Systems

Elevate your career as a Data Engineer focused on high-scale machine learning systems from the comfort of your home in Toronto, Ottawa, or Montreal. This full-time remote role emphasizes building scalable data pipelines for complex datasets.

Our client aims to innovate industrial intelligence by transforming data into actionable insights. The ideal candidate will work directly with ML teams, developing robust ETL processes and enhancing data architecture. Collaborating in a diverse team, you will ensure reliability and security while translating business needs into data solutions.

Key Responsibilities:

• Build and maintain data pipelines for large structured and unstructured datasets
• Optimize Spark workflows for production ML environments
• Partner with ML engineers and data scientists for solution development
• Ensure data quality and governance across systems
• Create feature engineering pipelines for predictive and time-series models

Requirements:

• 6+ years in data engineering or ML pipeline development
• Strong skills in Apache Spark, Databricks, and Delta Lake
• Proficient in Python, SQL, and Airflow
• Familiarity with Medallion architecture and ETL design
• Bachelor’s or Master’s in a related field

Contribute to data-driven successes in complex environments.

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