About Us
GFL is the fourth largest diversified environmental services company 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
We are seeking a Senior Integration Engineer to design, develop, and maintain robust data integration solutions. You will focus heavily on real-time data streaming via Apache Kafka and cloud-native ETL pipeline orchestration using AWS Glue. You will collaborate across engineering and product teams to ensure seamless data flows across our entire ecosystem.
Key Responsibilities
Kafka & Streaming: Build and optimize scalable streaming solutions using Apache Kafka, Kafka Connect, and Kafka Streams.
AWS ETL Pipelines: Architect and manage ETL/ELT pipelines and the Data Catalog using AWS Glue to move data efficiently into lakes and warehouses.
Cloud Integration: Connect cloud applications and third-party services using AWS Lambda, S3, API Gateway, SQS, SNS, and EventBridge.
Architecture & Leadership: Champion event-driven architecture and microservices principles. Mentor junior engineers and provide technical leadership.
Operations & Security: Implement monitoring, alerting, logging, and security best practices while maintaining clear system documentation.
Required Qualifications
Experience: 5+ years in enterprise-level integration engineering.
Core Tech: Deep, hands-on experience with Apache Kafka tuning/ecosystem and AWS Glue (ETL, cataloging, orchestration).
AWS & Data Ecosystem: Proficiency with S3, Lambda, API Gateway, Redshift, RDS, and DynamoDB.
Development: Strong skills in Python, Java, or Scala, alongside strong SQL/NoSQL database experience.
Data & APIs: Familiarity with data formats (JSON, Avro, Parquet) and protocols (REST, gRPC).
Methodology: Solid grasp of integration patterns, Git, and CI/CD pipelines.
Preferred Qualifications
Certifications: Confluent (CCDAK) or AWS (Data Analytics, Developer, Solutions Architect).
Tools & DevOps: Experience with Apache Airflow, Docker, Kubernetes, and IaC (Terraform/CloudFormation).
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 myworkdayrecruitment@gflenv.com
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.
