Top Data Engineer Jobs in Toronto

The Data Engineer will design and maintain ETL/ELT pipelines using various tools, support data infrastructure in cloud environments, and collaborate with BI teams for reporting and analytics.

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with business teams to implement insightful data solutions.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Design and build high-performance SQL and Python data pipelines across PostgreSQL, BigQuery, Snowflake, and MongoDB. Implement RisingWave streaming and Kafka architectures, orchestrate workflows with Airflow on GCP, enforce data quality, deploy CI/CD for pipelines, and mentor teammates while collaborating with business stakeholders.

As a Data Engineer, you will design and implement solutions for data integration and manage data quality, while collaborating with various teams for optimal data usage and decision-making.

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

Build and maintain integrations and data pipelines connecting client databases, APIs, and SaaS tools. Extract, clean, transform, and move messy real-world data to feed retrieval and agentic AI systems, apply security and privacy best practices, and document reproducible integrations.

The Senior Data Engineer will develop and maintain data platforms on Google Cloud, optimize data pipelines, and support Data Science teams in model training and analytics, collaborating closely across departments.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

The Data Engineer will design and maintain data pipelines on cloud data warehouses, manage integrations with advertising platforms, ensure data quality, and collaborate with cross-functional teams to meet reporting needs.

As an Associate Data Developer, you will support data systems, work on cloud migration, create analytics systems, and analyze data for improved performance.

As a Data Developer, you will design and maintain CI/CD pipelines, automate processes, and support scalable cloud infrastructure while ensuring data system reliability and collaborating with various teams to optimize data delivery.

As a Data Developer, you will modernize data systems, develop scalable data pipelines, and maintain ETL processes while ensuring data accuracy and compliance.

Design, build, and maintain complex data models, ETL pipelines, ingestion workflows, metadata and lineage. Perform data profiling, quality checks, documentation, and collaborate with stakeholders to support testing, deployment, and governance across platforms.

Design, develop, test and support cloud data pipelines, transformations, and data models using Databricks, Azure/AWS services and ETL tools. Implement lakehouse/data warehouse solutions, perform orchestration, provide production support, and follow SDLC and change/incident management in a public-sector environment.

As a Data Engineer, you'll develop and manage data ingestion pipelines, model data for analytics, and ensure data quality across advertising platforms.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

The Data Engineer will provide technical support and deployment expertise, review data designs, and ensure code quality while collaborating with international teams on a strategic data initiative.

Design and manage data platforms and pipelines, optimize workflows, ensure data security and compliance, perform data modeling, and collaborate with stakeholders.

Design, develop, test and maintain cloud-based data applications and infrastructure on AWS. Build and optimize ETL and streaming pipelines, support CI/CD and infrastructure as code, and collaborate with stakeholders to improve performance and deliver technical solutions independently.

Design, build, and maintain Databricks/Spark ETL pipelines and Bronze-Silver-Gold architectures; implement event-driven streaming with Pub/Sub and Protocol Buffers; prepare datasets for LLM fine-tuning and embeddings; integrate third-party sources (Shopify, Klaviyo); implement attribution, CLV, and analytics models; ensure data quality, monitoring, and idempotent retry-safe pipelines.

The Data Engineer will develop data pipelines, manage databases, ensure data quality, optimize performance, and collaborate with teams to meet business needs.

The Data Engineer will design, develop, and maintain data pipelines, transform data, and support analytics for investment and client reporting in a cloud environment.

The Data Engineer will design and build robust data pipelines using Microsoft Fabric and Azure services, focusing on both structured and unstructured data processing, ensuring data quality and supporting analytics and AI-driven insights.