AWS Data Engineer - AI Platform

Data and AI Platform Engineer - Cloud Infrastructure Engineer Location: Toronto, Canada (Onsite presence required a few days per week) Contract Length: July 1 2025 – October 31, 2025 Rate: $80-100/Hour(max) Project: Data and AI Platform Engineering on AWS Your new company Join a leading global financial services organization based in Toronto, committed to innovation and excellence in data-driven solutions. This company is focused on leveraging cutting-edge cloud technologies to transform their data and AI platforms, driving business growth and operational efficiency. Your new role As a Data and AI Platform Engineer, you will be a key member of the cloud engineering team responsible for designing and building robust AWS infrastructure. You will collaborate closely with development teams to provision platform services supporting complex ETL/ELT pipelines and machine learning solutions. Your role involves architecting scalable, low-latency data systems, implementing disaster recovery, and promoting best practices in software development. You will also lead and mentor a talented team, contributing to their growth and the success of backend distributed systems. What you'll need to succeed 7 years of experience as a Cloud Infrastructure Engineer specializing in Data and Data Warehousing technologies 10 years of relevant experience with a post-secondary degree or equivalent in a related field Strong expertise in Data Lake, Data Warehousing, Distributed Systems, and Data Infrastructure concepts Solid experience with ML infrastructure and ML DevOps Proven experience migrating data from on-premis Hadoop to AWS/Azure Cloud environments Deep understanding of core AWS and Azure services and architecture best practices Hands-on skills in database architecture, business intelligence, machine learning, advanced analytics, and big data Proficiency in building CI/CD pipelines for infrastructure and code deployment Excellent communication skills to provide consulting and technical support across teams Experience provisioning and architecting cloud services including: CDK & TypeScript, NodeJS, Python, Terraform CodePipeline, CI/CD, Build/Deploy tools AWS EMR, Glue, Managed Airflow, Lake Formation, Athena, S3, ELK/OpenSearch RDS, Redshift, DocumentDB, Neptune, Data Migration Service EC2, IAM, Secrets Manager, Systems Manager, CloudWatch AWS SageMaker Studio, Docker & Containers AWS QuickSight and Power BI (reporting tools) Azure Data and Data Warehousing services (a plus) Ability to work onsite in Toronto a few days per week What you'll get in return Competitive hourly rate Opportunity to work on a high-impact project with a prestigious financial client Gain experience with cutting-edge cloud and AI technologies in a collaborative environment Work alongside and learn from a talented team of cloud and data engineers Contract duration: July 1 2025 – October 31, 2025, with potential for future opportunities Hybrid work environment with onsite presence in Toronto What you need to do now If you are a skilled Cloud Infrastructure Engineer with a passion for data platforms and AI, eager to make a significant impact in a dynamic financial services environment, apply today! Submit your updated resume and a brief cover letter highlighting your relevant experience and availability for onsite work in Toronto. We look forward to connecting with you!

Location: Toronto, CA

Posted Date: 6/16/2025