Top Data Jobs in Toronto

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

The role involves reviewing and auditing AI-generated Java code evaluations by annotators to ensure adherence to quality standards.

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.

The Code Reviewer will audit SQL evaluations, ensure correctness and adherence to prompts, provide QA feedback, and collaborate with teams.

As a Senior Fullstack Engineer, you'll develop and maintain core data browsing features, collaborate with teams, and mentor engineers while contributing to the Sentry stack.

As Director of Data & Insights, you'll lead efforts to define and implement the data and AI strategy, managing a multidisciplinary team to enhance data capabilities and ensure secure data flow within the company and with clients.

The Senior Data Scientist II will analyze complex data sets, develop machine learning algorithms, and collaborate with teams to enhance business decisions.

The Data Engineer will architect and implement advanced analytics capabilities while dealing with large datasets and building data processing pipelines.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

The Senior Data Developer will design and maintain pipelines, optimize ML models, and support scheduling intelligence for healthcare appointments.

Responsible for driving innovative data initiatives, managing end-to-end data projects, engaging stakeholders, and promoting continuous improvement within the Data Strategy team.

The role involves overseeing data governance, managing master data implementations, enhancing data quality, and collaborating with IT and functional leaders.

As a Senior Data Analyst, you will design, develop, and support Power BI solutions, collaborating across teams to enhance data governance and operational efficiency.

The (Senior) Analytics Engineer will develop SQL transformations, design data models, and collaborate with cross-functional teams to support business analytics.

The Senior Data Engineer at League will develop and support data services and software products, ensuring performance and security of data infrastructure while collaborating with cross-functional teams.

The Senior Network Engineer will manage and optimize in-house and cloud-based networks, ensuring security and availability while troubleshooting complex network issues.

The Senior Frontend Engineer will drive initiatives in data engineering, mentor junior teammates, and contribute to product vision using various technologies.

The Manager, Data Processing oversees the internal data team, manages vendor relationships, ensures data quality, and provides analytical insights into market trends. They are responsible for training staff, managing timelines, and collaborating with cross-functional teams to support strategic decision-making.

As a Senior Data Developer, you will process datasets, manage existing workflows, develop ETL pipelines, and conduct data QA, requiring substantial experience in software development.

The Senior Data Analyst will manage client-facing reports, ensuring data quality and building reliable analytics products while collaborating with various teams.

The HR Data & Analytics Analyst creates reports and insights to enhance decision-making and improve HR programs through data analysis and visualization.

As an Analytics Engineer, you will improve data access through modeling and stakeholder enablement, focusing on reliable data and semantic layer design.

Manage a software development team to deliver cloud services, ensuring team performance, customer-centric solutions, and successfully complete projects while mentoring staff and promoting Agile practices.

Lead and mentor a team of developers, oversee cloud product delivery, drive engineering practices, and ensure high-quality standards while contributing to cross-functional initiatives.

The Support Operations Data Analyst will analyze support processes, improve efficiencies, prepare data insights, and create executive presentations to enhance customer satisfaction.