Top Data Jobs in Toronto

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.

The Lead Data Engineer will design and develop solutions using Snowflake Data Cloud, oversee data ingestion pipelines, and manage data warehouses. Responsibilities include optimizing data systems, mentoring junior engineers, ensuring data governance, and delivering reports to stakeholders. The role requires strong problem-solving and interpersonal skills, along with significant experience in data management and technical roles.

The Senior Data Engineer will build big data solutions with real-time streaming and batch analytical capabilities, managing terabytes of auction-related information for reporting, analytics, and machine model training. They will work with innovative tools and technologies in an Agile environment to solve complex challenges and keep index ahead in the advertising tech domain.

As a Data Analyst at MaintainX, you will analyze product performance and guide product strategy by uncovering insights from large datasets. You'll collaborate with Product Managers and create reporting dashboards to inform goal setting and decisions, while presenting findings to non-technical audiences.

As a Staff Software Engineer specializing in Data, you will shape the technical vision of the data platform, enhancing infrastructure for low-latency and scalability while supporting BI and Analytics teams. Key responsibilities include collaborating on platform development, mentoring, and ensuring data quality, alongside implementing architectural standards for the data environment.

The Senior Data Engineer will focus on data ecosystem management including data quality, governance, and insights creation. Key responsibilities include data source identification, data transformation, and integration using SQL and NoSQL databases, as well as creating data pipelines and utilizing cloud environments. The role requires translating business needs into data-driven solutions and developing business insights to enhance decision-making processes.

The Senior Data Analyst will analyze information to improve business efficiency, develop creative solutions, and collaborate with stakeholders. The role includes directing work streams, facilitating cross-functional meetings, and ensuring project deliverables are met. The analyst will also develop decision-making tools and support business solutions, demonstrating expertise in data analysis and project management.

The Data Scientist will analyze complex business problems, develop prototypes and models, work with unstructured data, and create insights for data-driven decisions. They will collaborate with analytics teams to provide access to model data and develop methodologies for data collection and evaluation.

The Senior Data Analyst will support data-driven decisions by building data models, creating Looker reports, and enhancing marketing and product analytics. Responsibilities include understanding stakeholder data needs, improving existing data models, and tracking KPIs across departments.

The Senior Data Architect will design, create, deploy, and manage the organization's data architecture. Responsibilities include optimizing database solutions, developing data governance policies, ensuring data quality, managing access controls, and collaborating with teams to address data needs while keeping abreast of industry trends and technologies.

Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.

The Senior Data Scientist will analyze ecommerce and physical store data to derive insights and improve operational efficiencies. Responsibilities include exploratory data analysis, developing analytical models, validating model performance, managing projects, and translating business needs into actionable solutions. The role requires strong technical skills and a creative approach to problem-solving.

As VP of Data, you will lead the data department, defining its vision and strategy. Collaborate with the executive team to drive data-centric decisions and innovation across data engineering, analytics, and science. Ensure compliance, manage resources effectively, and cultivate a strong data-focused culture within the organization.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions, define strategic roadmaps, perform technical interviews, and oversee data standards and procedures, requiring a robust understanding of AWS and data engineering.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

As a Data Quality Analyst, you will identify, analyze, and resolve data quality issues while implementing data quality reporting and ongoing checks. Your responsibilities involve conducting data profiling, supporting data cleansing initiatives, collaborating with stakeholders to implement corrective actions, and ensuring best practices in data quality are maintained.

The Data Solutions GTM Lead at Spaulding Ridge will strategize growth for the Data Solutions business, leading sales cycles and developing client relationships. Responsibilities include identifying market offerings, overseeing sales pipelines, and establishing thought leadership to drive brand awareness and revenue.