Senior Data Engineer

GFL Environmental Inc. • Vaughan, ON

9d

About The Position

Our GFL team is expanding, and we are seeking a highly skilled Senior Data Engineer with experience in designing and maintaining real-time data streaming pipelines and building robust data lake infrastructure and architecture. The right candidate will be excited by the prospect of optimizing and building data architecture to support our next generation of AI-powered products and data initiatives. You will be a core contributor to our real-time operational efficiency platform and financial forecasting initiatives, owning the full data lifecycle — from raw ingestion through to AI-driven insights and statistical modelling.

Requirements

• Proficient in AWS services, particularly Glue and ECS.
• Strong experience with Apache Spark and Delta Lake for big data processing.
• Hands-on experience with Kafka and real-time data streaming pipelines.
• Expertise in using Terraform for Infrastructure as Code (IaaC).
• Working knowledge of statistical modelling concepts (e.g. regression, time-series forecasting, anomaly detection) and their application to financial and operational use cases.
• Ability to own AI/ML workflows end-to-end, including building pipelines that serve predictive models and real-time scoring systems.
• Valid work authorization in the country where the job is located is required.

Responsibilities

• Design, develop, and maintain scalable, real-time and batch data pipelines using AWS Glue, Lambda, Apache Spark, and Kafka to power operational efficiency and financial forecasting use cases.
• Implement and evolve data lake architecture to ensure efficient data storage, processing, and retrieval at scale.
• Build and own end-to-end AI and ML workflows — including feature engineering, model training infrastructure, and real-time inference pipelines — without reliance on a separate data science function.
• Apply statistical modelling techniques to validate data quality, develop financial forecasting models, and design analytically rigorous data products.
• Collaborate with cross-functional teams — including Finance, Operations, and Product — to understand data requirements and translate them into scalable, intelligent data solutions.
• Use Terraform/CloudFormation to manage and provision infrastructure in a reproducible and scalable manner.
• Optimize and troubleshoot complex data pipelines, ensuring high availability and performance across real-time operational efficiency workflows.
• Explore and integrate the latest AI/ML technologies to continuously enhance our data processing and intelligence capabilities.
• Work in a fast-paced, startup-like environment where you will take full ownership of key projects and drive them from inception to completion.

Benefits

• career advancement opportunities
• competitive benefits
• job stability within an essential services company
• the chance to make a positive impact every day for our customers and communities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed