Top Data Engineer Jobs in Ottawa

As an AWS Data Engineer, you will design, build, and maintain scalable data pipelines using AWS cloud infrastructure. Responsibilities include implementing data transformation workflows, optimizing performance, and collaborating with cross-functional teams on analytics and BI initiatives.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

Responsible for designing and maintaining data pipelines, collaborating with data scientists and analysts, and building analytical models to inform decision-making in People Analytics.

The Data Engineer II will design, build, and optimize systems for metadata processing on a massive scale, collaborating closely with various teams.

As a Data Engineer at Clover, you'll develop data pipelines, tools for analytics and machine learning, and work on data governance and ETL processes. Collaboration with various teams and external parties is essential to ensure data accessibility and improve healthcare outcomes.

The ML Data Engineer will develop and manage robust feature engineering ETL pipelines for machine learning applications. Responsibilities include optimizing low-latency data pipelines, supporting the ML lifecycle, and ensuring compliance and data governance. Close collaboration with data scientists and other teams is essential to align data efforts with business needs.

As a Data Engineer, you will manage the data migration lifecycle by evaluating source systems, designing transformation rules, building ETL pipelines, and ensuring data quality. You will collaborate with business data owners and technical teams to facilitate secure data transfers and maintain documentation for auditability. Strong experience in data cleansing and validation is key to ensuring successful migrations.

Lead the design and development of data architecture, focusing on data modeling, integration, and analytics for Scribd's data strategy.

The Data Engineer I will maintain data models, ensure data consistency, collaborate with teams for KPI reporting, and improve data stack efficiency.

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.

As a Data Engineer II, you will optimize data architecture, develop scalable data pipelines, collaborate with analytics teams, ensure data quality, and design data integrations. You'll utilize various cloud services, write unit tests, and document processes while supporting real-time data integrations and effectively communicating with stakeholders.

Build and maintain a scalable AI data platform, collaborating with teams to ensure optimal data lifecycle management and infrastructure for machine learning applications.

As a Senior Data Engineer, you will lead the development of data pipelines and infrastructure to support Blackpoint Cyber's AI products. Responsibilities include optimizing ETL processes, implementing data models, monitoring performance, and collaborating with cross-functional teams to enhance cybersecurity measures.

As a Staff Data Engineer, you will design and optimize data pipelines, enhance ingestion architectures, and collaborate with enterprise customers and platform teams.

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

As a Senior Data Migration Engineer, you will oversee data migration to GCP, analyze data structures, design strategies, ensure data integrity, and support stakeholders.

The Senior Data Engineer will advance data engineering practices, design scalable data systems, influence technology decisions, and mentor other engineers.