Top Data Engineer Jobs in Toronto

As a Data Engineer, you will build and maintain data infrastructure for marketing, create data pipelines, analyze new data sources, and ensure SLAs are met. You'll collaborate with various teams to implement ETL processes and resolve data discrepancies, making improvements for efficiency and data quality.

The Data Engineer will design, build, and maintain data pipelines using Apache Airflow and GCP services including Dataflow and BigQuery. Responsibilities include data modeling, optimization for performance, monitoring and troubleshooting, and collaborating with cross-functional teams to meet business requirements.

As a Senior Data Engineer at Walmart, you will develop scalable solutions for extracting, transforming, and loading big data, ensuring data quality and governance, and collaborating with engineering teams globally to optimize data workflows.

The Data Engineer will design and maintain scalable data pipelines and ETL processes, leveraging cloud platforms for data infrastructure. Responsibilities include optimizing data storage and retrieval, collaborating with cross-functional teams, and addressing data-related challenges. The candidate will also support ad-hoc data requests and ensure high-quality data solutions for marketing analytics.

As a Data Engineer at Clio, you'll build data pipelines and warehouses, using AWS technologies to implement data ingestion and transformation processes. Your role involves collaborating with engineers, developing prototypes, and ensuring data integrity while delivering excellent customer experiences.

As a Data Engineer, you will build and maintain data pipelines and ensure data accessibility and security. You'll collaborate with teams to optimize data processes and resolve issues to support data-driven decisions within the organization.

The Data Engineer will be responsible for combining data from various sources, building data pipelines, and aligning data systems with business goals. Key tasks include working with Azure stack, Apache Spark, SQL, and data ingestion processes using Azure Data Factory, ensuring efficient data handling and extraction at scale.

Data Developers will design, build, and maintain scalable data pipelines, manage database systems, integrate data from various sources, and develop ETL processes. They will collaborate with data scientists and platform teams, ensuring data governance and supporting insights that drive customer interactions and business outcomes.

As a Data Engineer, you'll be responsible for designing and implementing data pipelines using Spark and Scala while ensuring data quality, optimizing workflows, and integrating data solutions that meet business needs. You'll collaborate with teams to build efficient data processing systems and support data analysis efforts.

The Data Engineer will design databases, manage large data sets, create dashboards, and generate insights using advanced analytics. The role requires collaboration and strong analytical skills to solve business challenges using data.

The Guidewire Data Engineer will design and develop data models in Snowflake, write complex SQL queries, and leverage ETL/ELT tools like Apache Nifi and Talend. Key responsibilities include optimizing cloud-based data warehouses and integrating Guidewire Claims Center with various data platforms for efficient claims management workflows.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and data infrastructure. You will work closely with data scientists and analysts to enable data-driven decision-making and ensure efficient data flow across the organization.

As an NLP Data Engineer, you'll design, build, and maintain data pipelines for automated trading systems, manage subsystems, and engage in R&D of machine learning models to enhance execution systems.

As a Data Engineer at Edge & Node, you will develop and maintain data ingestion adapters for various blockchain networks, implement data ingestion strategies, handle data quality checks, and optimize block ingestion processes. You will collaborate with upstream data sources and contribute to the growth of a decentralized web3 ecosystem.

The Data Engineer will build and maintain Perplexity's data pipelines and infrastructure, working with cross-functional teams to support analytics and machine learning applications, while ensuring scalable and efficient data processing systems.

The Data Engineer will architect, design, and implement advanced analytics capabilities, build large-scale data processing pipelines, develop self-service dashboards, and provide insights from complex data sets to tackle business challenges.

The Data Engineer is responsible for developing robust data pipelines and ensuring the quality and security of data integration processes. This includes participating in agile teams, performing integration testing, and diagnosing data quality issues. Strong communication skills and client-facing experience are essential for driving project delivery and supporting customs' success through collaboration.