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Data & AI Engineering Manager
Location: 100% Remote anywhere in Canada Duration: Full‑time Job Description Role Overview We are seeking an Data & AI Engineering Manager to lead high‑impact teams building scalable, customer‑facing data and AI…
Data Engineer - Contractor
Senior Data Engineer builds and optimizes scalable ETL/ELT pipelines in Microsoft Fabric, integrating SAP and other enterprise sources to create standardized, AI-ready data products for analytics and reporting.
Senior Data Engineer
Senior Data Engineer to architect and optimize CanCap’s Databricks-based Lakehouse, building scalable ingestion, transformation, and real-time pipelines that power credit adjudication and strategic insights for millions of Canadians.
Data Engineer
Design and maintain AWS-based data pipelines and lakehouse architecture for environmental services, processing large datasets to support analytics and business intelligence.
Senior Data Engineer
Senior Data Engineer to design and build a lakehouse from scratch, owning pipelines, data quality, governance, and reliability for API usage and telecom data at a global API infrastructure company.
Data Engineer
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Data Engineer
Builds and maintains AWS Lakehouse infrastructure, ELT pipelines, and data models to power analytics and AI features for trade-contractor software.
Data Engineer
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.
Data Engineer
Build and maintain data pipelines for Xplore’s telecom systems, automating ingestion, transformation, and validation to support BSS migration and BI/AI-ready datasets.
Senior Data Engineer, Lakehouse & Data Products
Senior Data Engineer building and optimizing lakehouse pipelines and models using Snowflake, dbt, and Databricks to power reliable, reusable data products and internal dashboards.
Senior Data Engineer
Lead the rebuild of Orca’s freight-audit data platform using Azure SQL, Fabric, and Data Factory to modernize pipelines and automate reporting for North American clients.
Senior Data Engineer
Senior Data Engineer builds and maintains Snowflake/dbt lakehouse pipelines and data products that power analytics and customer-facing dashboards at a global subscription-commerce platform.
Mid-Senior Azure Data Engineer Ontario
Build and maintain Azure-based data pipelines using Databricks, Delta Lake, and PySpark to process and transform large datasets for analytics and reporting.
Cloud Data Engineer
Designs and builds cloud data pipelines, data warehouses, and ETL processes using Azure, Oracle, and SQL Server to migrate and optimize large-scale OLAP/OLTP systems.
Big Data Engineer Graduate (Data Management Suite, Data Integration) - 2027 Start
Build and optimize large-scale data ingestion systems for real-time pipelines using Kafka, Flink, and distributed systems, supporting ByteDance’s global data platform.
AWS Data Engineer: Scale Data Lakes with PySpark & ETL
Design and maintain scalable AWS data pipelines using PySpark, SQL, and Terraform to build and optimize data lakes and lakehouse architectures.
Data Engineer - 12 months agency contract
Design and build scalable cloud data pipelines and AI/ML models on AWS, Azure, and Databricks to turn healthcare data into actionable insights for clinicians and policymakers.
Data Engineer
Design and maintain scalable data architectures, ETL pipelines, and data lakes for a national library system using AWS, SQL, Python, and Airflow.
Senior Specialist, Data Engineer, BSF
Design and maintain scalable data pipelines using Microsoft Fabric, Power BI, and ELT/ETL processes to integrate SAP, Salesforce, and SQL data for enterprise analytics and reporting.
Quantitative Software Engineer
Build and maintain mathematical models and backend systems that power financial risk calculations and AI-driven workflows using Python, PySpark, and Databricks.