Top Data Engineer Jobs in Ottawa

As a Senior Data Engineer, you will design and maintain data sets, collaborate with stakeholders, drive data quality, and build data products.

As a Senior Data Engineer, you will develop and maintain end-to-end data pipelines, manage data integration, and enhance data architecture while collaborating across teams in a fast-paced environment.

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 Senior Data Engineer will design and implement scalable data systems, manage data pipelines, and ensure data quality for impactful decision-making.

The Senior Data Engineer will design and maintain marketing datasets, collaborate with cross-functional teams, and drive data quality in marketing initiatives.

Design and develop data models in Snowflake, implement ETL processes, and support Guidewire Claims workflows with SQL querying and cloud integration.

As a Data Engineer III, you'll design and manage data pipelines, ensure data quality, mentor others, and deliver analytical solutions using modern cloud technologies.

As a Data Engineer III, you'll design and manage data pipelines, implement ETL processes, and ensure data quality while mentoring other engineers.

The Data Engineer will build and maintain data pipelines, collaborate with data science teams, and ensure data quality for analytics and product needs.

The Data Engineer will design and maintain SQL data warehouses, build reports with SSRS, and manage data pipelines using Airflow.

As a Senior Data Engineer, you will maintain data pipelines, troubleshoot issues, develop data models, and collaborate with analysts to support business needs.

The Sr. Data Platform Engineer will enhance Stability's data platform using AWS and GCP, lead technical decisions, mentor, and analyze data to drive strategy.

The Senior Data Engineer will manage data architecture and pipelines, ensuring data integrity and supporting analytics. Responsibilities include designing data systems, developing ETL processes, optimizing performance, and mentoring junior engineers.

The Senior Data Engineer will design and develop data solutions, maintain pipelines, improve performance, and mentor junior members while collaborating on analytics and architectures.

Responsible for building scalable ETL pipelines, managing datasets, and developing automated reporting solutions to enable data-driven decisions.

The Senior Data Engineer will design and maintain data pipelines, generate insights from data, and collaborate with teams to improve processes in the automotive industry.

The Senior Data Engineer will manage the data platform, support product development, and handle complex data systems. Key skills include Python, SQL, and cloud infrastructure management.

Design and maintain Data Lakehouse solutions, develop ETL/ELT pipelines, optimize data storage, collaborate with cloud teams, and implement data security.

Seeking an experienced Data Engineer to design and implement data pipelines, collaborate with teams, and manage diverse data sets while ensuring data governance.

Design and enhance scalable data pipelines for machine learning, collaborate with engineers and data scientists, and mentor junior engineers.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, integrate tools, and ensure data quality for AI projects.

As a Senior Data Engineer II, you'll enhance and maintain data processing pipelines, manage data workflows, and collaborate on data products within a remote-first team.

As a Staff Data Engineer, you will design and implement ETLs for large datasets, improve customer data integration, and mentor team members.

As a Senior Data Engineer II, design and maintain data processing and storage pipelines, collaborate with teams, and enhance data systems for analytics and ML.

As a Data Engineer, you will develop data pipelines and tools for analytics and machine learning, ensuring data accessibility and collaborating with cross-functional teams to enhance data governance and ETL processes.