119 Data Engineer jobs in Canada available for remote work from home. Apply for positions such as Data Engineer, Data Engineer, Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Engineer will design, build, and maintain scalable data pipelines and platforms to support analytics, AI, and operational decision-making. They will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility across cloud-based environments.
You will design, build, and maintain robust data pipelines for ingestion, transformation, and orchestration to support AI and analytics applications. You will also collaborate with ML/AI teams to develop retrieval pipelines and ensure data reliability, scalability, and compliance.
The Data Engineer will design, develop, and maintain scalable data pipelines and ETL processes within an AWS lakehouse environment. They will also collaborate with cross-functional teams to model data and ensure high standards of data quality, consistency, and accessibility.
The Data Engineer will build and maintain scalable data infrastructure to support customer onboarding and efficient data ingestion into the ODAIA platform. They will also develop automation tools and integrations to streamline data management and improve system interoperability.
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Build and maintain customer-facing data models and sharing processes within Snowflake. Develop Power BI semantic models, reports, and dashboards embedded in the product for enterprise customers.
Design and build enterprise data warehouses, lakes, and pipelines on GCP/AWS to support supply chain and real estate operations. Develop ETL infrastructure and data solutions to enable advanced AI/ML use cases like RAG and agentic AI.
Own and scale the central database and knowledge graph that serves as the memory for AI agents and product features. Design ingestion pipelines for funding rounds and market news while ensuring end-to-end data quality and entity resolution.
Design and maintain high-throughput ETL/ELT pipelines and performance-tuned data transformations to support global analytics and ML models. Implement data ops best practices, including CI/CD, observability, and robust data privacy controls.
The Data Engineer will design, build, and maintain scalable ETL/ELT data pipelines using GCP services, architecting robust data infrastructure and developing central data warehouses in Google BigQuery. Responsibilities also include leading client communication to translate business needs into scalable technical data solutions and ensuring data integrity through quality checks and governance.
Design, build, and maintain scalable data pipelines using Databricks while managing CI/CD workflows via Azure Pipelines. Optimize ETL/ELT processes for performance and collaborate with stakeholders to define data requirements and ensure data quality.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS platforms. Collaborate with business and technical teams to ensure data quality, governance, and compliance with privacy regulations.
You will build scalable data pipelines, infrastructure, and models to power internal analytics and customer-facing data products. Additionally, you will implement automated monitoring and leverage AI tools to optimize data quality and performance across the warehouse.
The Data Engineer will design, build, and maintain scalable data pipelines and architectures to support mortgage servicing analytics and operational decision-making. They will also ensure data integrity, implement governance standards, and collaborate with cross-functional teams to enable AI and reporting capabilities.
The Lead Data Engineer will architect and scale core data systems while providing technical leadership and mentorship to a squad of engineers. They will oversee the design and operation of data pipelines, infrastructure, and governance standards to support analytics and AI initiatives.
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Lead the architecture and development of the enterprise data platform while driving foundational work across ingestion, storage, and transformation. Mentor senior engineers and collaborate with cross-functional teams to ensure data quality, reliability, and scalability.
You will build automated validation, reconciliation, and anomaly detection systems to ensure the accuracy of cloud billing data. Additionally, you will investigate data-quality issues to identify root causes and implement automated preventative measures.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists to optimize infrastructure for high-quality, large-scale data processing.
The Senior Data Engineer will lead the technical implementation of the Market Management System and design large-scale, data-intensive production systems. They will collaborate with product managers and data scientists to translate complex market needs into scalable software solutions.
You will utilize DevOps principles to evaluate and support data engineering solutions for EMR platforms. Your work involves collaborating with internal and external stakeholders to enhance infrastructure and provide real-time health alerts for service monitoring.
You will be responsible for designing, developing, and maintaining data solutions, including creating data pipelines and implementing ETL processes. Additionally, you will monitor pipeline performance, ensure data quality, and collaborate with cross-functional teams to optimize data flow.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for next-generation AI products.
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The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
You will design, build, and maintain scalable data pipelines and ETL/ELT processes while architecting data models for analytics and operational use. Additionally, you will collaborate with cross-functional teams to evolve the data platform and implement observability and data quality monitoring.
The Senior Fabric Data Engineer will design and implement scalable data solutions using Microsoft Fabric, including ingestion, transformation, and curated data layers. They will also manage data migration, optimize pipelines, and ensure data quality and security across enterprise systems.
The Data Engineer will own and scale the reporting and analytics infrastructure to support operational, revenue, and executive decision-making. Responsibilities include building scalable data models, maintaining BI systems, and automating reporting workflows with a focus on data quality and governance.
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