About this role
About the Role Slalom is seeking a Data Engineer to join our Data Architecture & Engineering team in Toronto. You will design and implement client data platform solutions across AWS, Azure, and Google Cloud, collaborating with Solution Architects to deliver scalable data products and enable AI-driven transformation. What You'll Do
- Designing and implementing components of clients' data platform solutions, typically working under the direction of a Solution Architect
- Participating in design sessions and translating complex requirements into actionable development tasks
- Ensuring timely, high-quality delivery of development items — both for yourself and for the data engineers you support
- Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more
- Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering What We're Looking For
- 4+ years of hands-on experience designing, building, and optimizing data engineering solutions in production environments, and deep familiarity with modern data technologies
- Experience with Cloud Platforms & Warehouses such as Amazon Redshift, Snowflake, Google BigQuery, Azure Synapse Analytics, Amazon EMR
- Big Data & Streaming experience with Apache Spark, Presto, Databricks, Amazon Kinesis, Apache Kafka
- Workflow & Orchestration experience with Apache Airflow, dbt, Dagster, Azure Data Factory
- Databases, Containers & ML experience with DynamoDB, Cosmos DB, MongoDB, Kubernetes, Amazon ECS, Amazon SageMaker, Azure ML Studio
- Programming languages: Python, Java Compensation & Benefits
- Base salary range: $90,000 - $110,000 per year
- Potential for an 8% discretionary bonus based on individual and company performance
- Slalom employee perks include health and wellness programs, vacation (20 days prorated), RRSP matching, TFSA, EAP, and more