Top Data Engineer Jobs in Toronto

As a Data Developer at Autodesk, you will be responsible for designing, building, and maintaining scalable data pipelines, as well as ensuring data integrity and accessibility. You'll collaborate with cross-functional teams to support business needs and work on initiatives like optimizing digital conversion metrics and developing a chatbot powered by LLM.

Looking for a Data Engineer with 4+ years of experience in IT industry, expertise in Python and Pyspark, and experience building data pipelines using Azure stack. The candidate should have strong analytical skills and the ability to align data systems with business goals.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.

As a Data Engineer, you will develop data systems, automate management processes, and ensure data pipelines are optimized and secure. Responsibilities include building data pipelines, testing their performance, and maintaining their health while collaborating with cross-functional teams to enhance data accessibility for informed decision-making.

As a Data Engineer at Clover, you will develop and maintain data pipelines, tools for analytics, and machine learning. Collaborate with cross-functional teams to design ETL programs, manage data governance, and improve data quality while leading projects and mentoring junior team members.

The Data Engineer will gather, curate, and preprocess large datasets, ensuring data quality and integrity, analyze datasets using statistical and machine learning techniques, and communicate findings through visualizations and reports, aiding the development of scientific models and pricing platforms.

The Senior Data Engineer will design, develop, and maintain data products for Block, focusing on cloud infrastructure, ETL/data modeling, and collaboration with various stakeholders. The role requires coding in Python and SQL, maintaining an AWS cloud platform, and mentoring team members while handling complex data projects.

As a Data Engineer at StackAdapt, you will design scalable real-time data pipelines and implement custom machine learning algorithms. You'll collaborate with data scientists and engineers, working on microservice architectures for training and inference of ML models, tackling complex problems for an innovative digital advertising platform.