Senior Data Engineer

GFL Environmental Inc. • $100K — $130K *
Vaughan, ON L6A 0Y6In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering and architecture design.
  • Proficient in AWS services, especially Glue and ECS.
  • Strong experience with Apache Spark and Delta Lake.
  • Hands-on experience with Kafka and real-time data streaming.
  • Expertise in Terraform for Infrastructure as Code (IaaC).
  • Familiarity with statistical modeling techniques related to financial forecasting.

Responsibilities

  • Design, develop, and maintain scalable real-time and batch data pipelines using AWS technologies.
  • Implement and evolve data lake architecture for efficient data handling at scale.
  • Build and own end-to-end AI and ML workflows independently.
  • Apply statistical modeling techniques to validate data and create financial models.
  • Collaborate with cross-functional teams to translate data requirements into solutions.
  • Use Terraform/CloudFormation to manage infrastructure effectively.
  • Optimize and troubleshoot data pipelines for high availability and performance.
  • Integrate the latest AI/ML technologies to enhance data processing capabilities.

Benefits

  • Dynamic work environment modeled after a startup culture.
  • Opportunity to lead projects from inception to completion.
  • Engagement with cutting-edge AI and ML technologies.
  • Collaborative work with diverse teams across the company.
Full Job Description
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.

A "Day in the Life" of a Senior Data Engineer:
  • 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.


Knowledge, Skills and Abilities:
  • 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.


We thank you for your interest. Only those selected for an interview will be contacted.

About GFL Environmental Inc.

GFL Environmental Inc. is a Canadian waste management company that provides a wide range of environmental services to customers in Canada and the United States. The company was founded in 2007 and is headquartered in Vaughan, Ontario. GFL Environmental Inc. operates a fleet of more than 10,000 vehicles and employs over 17,000 people. The company's services include solid waste collection, recycling, soil remediation, and liquid waste management. GFL Environmental Inc. is committed to sustainability and has implemented a number of initiatives to reduce its environmental impact.
Learn more about GFL Environmental Inc.
Size
18,000 employees
Market Cap
$12.8 billion
Industry
Energy & Utilities
5 Year Trend
+42.7%
NASDAQ
GFL
* Ladders Estimates

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