Dice is the leading career destination for tech experts at every stage of their careers. Our client, Accion Labs, is seeking the following. Apply via Dice today! Who can apply? - Candidate located in CANADA only. 100% remote opportunity. Requirement- • 5+ years of experience in a data engineering or ML engineering role • Strong proficiency in Python, PySpark, and SQL • Hands-on experience with ETL development and data pipeline orchestration • Familiarity with basic machine learning concepts and model lifecycle • Solid understanding of data warehousing and distributed systems Nice to have • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) • Exposure to tools like Airflow, dbt, or MLflow • A strong sense of data ownership and intellectual curiosity. Key Responsibilities:- • Develop and maintain scalable data pipelines using Python, PySpark, and SQL • Design, implement, and optimize ETL workflows to support analytics and ML models • Collaborate with data scientists and analysts to ensure high-quality, accessible data • Support the deployment of ML models into production environments- Implement data quality checks, monitoring, and validation • Stay curious explore new datasets, uncover patterns, and contribute to data-driven innovation