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.Why Join GFL? GFL Environmental is a major diversified environmental services company in North America. Our employees, collectively known as 'Team Green,' enjoy numerous benefits: career advancement opportunities, competitive benefits, job stability within an essential services company, and the chance to make a positive impact every day for our customers and communities, Green for Life!What’s in it for You:<ul><li>Own the full data stack — from pipeline architecture to AI-driven insights — in a team that does it all.</li><li>Work at the intersection of large-scale data engineering, statistical modelling, and cutting-edge AI, building the infrastructure that powers operational efficiency and financial forecasting across the business.</li><li>Be part of a startup-like environment where your ideas and contributions directly impact the company's success.</li><li>Take full ownership of projects and have the autonomy to drive them from inception to completion.</li><li>Grow your career in a fast-paced environment with plenty of opportunities to work with the latest AI and data technologies.</li><li>Collaborate with a passionate, cross-disciplinary team that values your input and encourages professional growth.</li></ul>A “Day in the Life" of a Senior Data Engineer:<ul><li>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.</li><li>Implement and evolve data lake architecture to ensure efficient data storage, processing, and retrieval at scale.</li><li>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.</li><li>Apply statistical modelling techniques to validate data quality, develop financial forecasting models, and design analytically rigorous data products.</li><li>Collaborate with cross-functional teams — including Finance, Operations, and Product — to understand data requirements and translate them into scalable, intelligent data solutions.</li><li>Use Terraform/CloudFormation to manage and provision infrastructure in a reproducible and scalable manner.</li><li>Optimize and troubleshoot complex data pipelines, ensuring high availability and performance across real-time operational efficiency workflows.</li><li>Explore and integrate the latest AI/ML technologies to continuously enhance our data processing and intelligence capabilities.</li><li>Work in a fast-paced, startup-like environment where you will take full ownership of key projects and drive them from inception to completion.</li></ul>Knowledge, Skills and Abilities:<ul><li>Proficient in AWS services, particularly Glue and ECS.</li><li>Strong experience with Apache Spark and Delta Lake for big data processing.</li><li>Hands-on experience with Kafka and real-time data streaming pipelines.</li><li>Expertise in using Terraform for Infrastructure as Code (IaaC).</li><li>Working knowledge of statistical modelling concepts (e.g. regression, time-series forecasting, anomaly detection) and their application to financial and operational use cases.</li><li>Ability to own AI/ML workflows end-to-end, including building pipelines that serve predictive models and real-time scoring systems.</li></ul>  We thank you for your interest. Only those selected for an interview will be contacted.GFL is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, please contact <a href="mailto:myworkdayrecruitment@gflenv.com">myworkdayrecruitment@gflenv.com</a> Please note that GFL does not provide visa sponsorship for this position. Valid work authorization in the country where the job is located is required. Successful candidates will be required to provide valid documentation confirming their eligibility to work in the country where the job is located prior to their start date.  This hiring process may utilize machine-based systems to assist in screening and assessing applicants. Final selection decisions are made by our recruitment team.

GFL Environmental is the only major diversified environmental services company in North America offering services in solid waste management, liquid waste management and soil remediation. Through a strategically located network of facilities across Canada the United States, GFL&rsquo;s dedicated, professional team of employees provides local service to more than 4 million households under municipal contracts and to more than 135,000 industrial, commercial and institutional customers. We offer an unparalleled commitment to customer service, reliability and efficiency and maintain an unwavering focus on safety and compliance with environmental and legislative requirements. At GFL, we believe that by providing accessible, cost-effective environmental solutions we will encourage greater environmental responsibility and allow our customers and the communities we serve to be Green For Life.

Senior Data Engineer

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.Why Join GFL? GFL Environmental is a major diversified environmental services company in North America. Our employees, collectively known as 'Team Green,' enjoy numerous benefits: career advancement opportunities, competitive benefits, job stability within an essential services company, and the chance to make a positive impact every day for our customers and communities, Green for Life!What’s in it for You:<ul><li>Own the full data stack — from pipeline architecture to AI-driven insights — in a team that does it all.</li><li>Work at the intersection of large-scale data engineering, statistical modelling, and cutting-edge AI, building the infrastructure that powers operational efficiency and financial forecasting across the business.</li><li>Be part of a startup-like environment where your ideas and contributions directly impact the company's success.</li><li>Take full ownership of projects and have the autonomy to drive them from inception to completion.</li><li>Grow your career in a fast-paced environment with plenty of opportunities to work with the latest AI and data technologies.</li><li>Collaborate with a passionate, cross-disciplinary team that values your input and encourages professional growth.</li></ul>A “Day in the Life" of a Senior Data Engineer:<ul><li>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.</li><li>Implement and evolve data lake architecture to ensure efficient data storage, processing, and retrieval at scale.</li><li>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.</li><li>Apply statistical modelling techniques to validate data quality, develop financial forecasting models, and design analytically rigorous data products.</li><li>Collaborate with cross-functional teams — including Finance, Operations, and Product — to understand data requirements and translate them into scalable, intelligent data solutions.</li><li>Use Terraform/CloudFormation to manage and provision infrastructure in a reproducible and scalable manner.</li><li>Optimize and troubleshoot complex data pipelines, ensuring high availability and performance across real-time operational efficiency workflows.</li><li>Explore and integrate the latest AI/ML technologies to continuously enhance our data processing and intelligence capabilities.</li><li>Work in a fast-paced, startup-like environment where you will take full ownership of key projects and drive them from inception to completion.</li></ul>Knowledge, Skills and Abilities:<ul><li>Proficient in AWS services, particularly Glue and ECS.</li><li>Strong experience with Apache Spark and Delta Lake for big data processing.</li><li>Hands-on experience with Kafka and real-time data streaming pipelines.</li><li>Expertise in using Terraform for Infrastructure as Code (IaaC).</li><li>Working knowledge of statistical modelling concepts (e.g. regression, time-series forecasting, anomaly detection) and their application to financial and operational use cases.</li><li>Ability to own AI/ML workflows end-to-end, including building pipelines that serve predictive models and real-time scoring systems.</li></ul>  We thank you for your interest. Only those selected for an interview will be contacted.GFL is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, please contact <a href="mailto:myworkdayrecruitment@gflenv.com">myworkdayrecruitment@gflenv.com</a> Please note that GFL does not provide visa sponsorship for this position. Valid work authorization in the country where the job is located is required. Successful candidates will be required to provide valid documentation confirming their eligibility to work in the country where the job is located prior to their start date.  This hiring process may utilize machine-based systems to assist in screening and assessing applicants. Final selection decisions are made by our recruitment team.

Senior Data Engineer

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GFL Environmental

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