Data Engineer

GFL Environmental Inc.; Vaughan; On-site; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

RRSP matching

Profit sharing

Job summary

GFL Environmental Inc. is seeking a Data Engineer in Vaughan, ON to design, implement, and optimize data pipelines and data lakehouse architectures using AWS services. You will work with data scientists and analysts to enable secure, scalable data access for analytics and BI.

The role requires strong Python, SQL, and data modeling skills, plus experience with ETL processes and data warehousing concepts in a cloud environment. Canadian operations and cloud-first data strategy are emphasized.

Qualifications

• Bachelor's degree in computer science, engineering, or related field.
• Experience with AWS cloud services and data engineering roles.
• Proficiency in data modeling, ETL development, and data warehousing concepts.

Responsibilities

• Design and implement scalable data pipelines across AWS services.
• Manage data warehouses and data lakes for analytics and BI.
• Develop and optimize data models for performance and scalability.
• Ensure data security, access controls, and audit logging.

Skills

AWS services

Python

SQL

Data modeling

ETL development

Java

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS Glue

Amazon Redshift

Amazon EMR

Amazon S3

Job description

Job Description

Ready to elevate your career? GFL is expanding! We are officially hunting for our next Data Engineer in Vaughan, ON—someone ready to bring fresh ideas and grow alongside a dynamic team.

About Us

GFL is one of the largest diversified environmental services companies in North America, providing comprehensive solid waste management services from its platform of facilities throughout Canada and 18 U.S. states. Recognized by our signature fleet of bright green trucks and equipment, we offer a wide range of environmental and industrial services to businesses, communities and households, providing a consolidated and sophisticated approach to meeting our customers’ needs. One of the keys to our success lies in the diversity of our services and our ability to deliver robust integrated solutions, all from a single efficient company. We believe that, by providing safe, accessible and cost‑effective solutions, we encourage greater environmental responsibility and allow our customers and the communities we serve to be Green For Life.

The Role

The Data Engineer will be responsible for developing, maintaining, testing, and optimizing data management systems with a focus on Data Lakehouse architecture. The role includes working with vast datasets, designing scalable data models, managing data warehouses and lakes, and ensuring seamless data integration and accessibility for analytics and business intelligence.

Key Responsibilities

• Design and Implementation of Data Pipelines: Develop and maintain robust, scalable, and efficient data pipelines that can ingest, process, and distribute data across multiple AWS services and systems.
• Data Storage and Database Management: Design and implement data storage solutions using AWS data services such as Amazon RDS, Amazon DynamoDB, Amazon Redshift, and Amazon S3, ensuring data integrity, availability, and security.
• Data Processing and Analysis: Utilize AWS analytics and data processing services such as AWS Glue, Amazon EMR, and AWS Lambda to analyze data, derive insights, and support business decision‑making.
• Data Security and Compliance: Implement and manage security measures to protect data and ensure compliance with data protection regulations and AWS best practices, including encryption, access controls, and audit logging.
• Optimization and Scalability: Monitor, optimize, and scale data infrastructure and applications to improve performance, reduce costs, and accommodate growing data volumes.
• Collaboration and Support: Work closely with data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Provide support for data‑related technical issues.
• Innovation and Continuous Improvement: Stay abreast of new AWS features and technologies and explore innovative ways to enhance data architecture and operations for better efficiency and effectiveness.

What We’re Looking For (Qualifications)

• Technical Expertise: Proficient in AWS services relevant to data engineering, such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, and AWS Lambda. Strong programming skills in Python, SQL, and Java.
• Data Modeling and ETL Processes: Experience in data modeling, ETL (Extract, Transform, Load) development, and understanding of data warehousing concepts.
• Database Management: Knowledge of database management, performance tuning, and query optimization.
• Problem‑Solving Skills: Strong analytical and problem‑solving abilities, with the capacity to work on complex data systems.
• Communication and Collaboration: Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.

Education and Experience

• A bachelor’s degree in computer science, engineering, or a related field.
• Previous experience as a data engineer or in a similar role, specifically with AWS cloud services.

Desired Certifications

• AWS Certified Data Analytics – Specialty.
• AWS Certified Solutions Architect – Associate or Professional.

What We Offer

Why Join Us? We Believe In Taking Care Of Our Team. Here Is a Snapshot Of Our Total Rewards You Can Expect.

• Health: Comprehensive medical, dental, and vision insurance.
• Wellness: Employee Assistance Program, life insurance, and paid time‑off.
• Financial: RRSP matching, profit sharing and competitive wages.
• Culture: Growth opportunities and continuous learning opportunities.

Join us and become part of "Team Green" at GFL Environmental, where your skills and dedication will be valued and rewarded. Apply now for this exciting opportunity!

Equal Opportunity Statement

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 [e-mail].