Top Data Engineer Jobs in Ottawa

Seeking a Data Engineer with expertise in database design, AWS services, and data analysis to help solve business challenges.

The Analytics Engineer will design data models, develop ETL pipelines, ensure data quality, and enhance reporting solutions for People Analytics.

As a Data Engineer, you'll leverage Google Cloud services, primarily focusing on BigQuery and SQL, to develop data-driven solutions and perform ETL processes.

Join League's data engineering team to build and maintain data pipelines. Gain hands-on experience with ETL processes, data warehousing, and large datasets while collaborating on cutting-edge data technologies.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

As a Senior Data Engineer, you will build data engineering processes and infrastructure for A.I. products, optimizing data pipelines and collaborating across teams.

As a Data Engineer III, you will build and manage end-to-end data pipelines using modern cloud technologies, ensuring data quality, scalability, and security.

As a Senior Data Engineer, you will design and implement scalable systems, build data pipelines, ensure data quality, and improve data processing workflows.

As a Senior Data Engineer, build scalable data pipelines and architecture using Databricks, PySpark, and AWS, collaborating with cross-functional teams to enhance data models and pipelines.

The Data Engineer will design and build data pipelines, and infrastructure for AI insights, collaborating cross-functionally, utilizing Python and SQL.

As a Middle Data Engineer, you will design and maintain SQL data warehouses, enhance reports using SSRS, and develop data pipelines with Airflow.

As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.

As a Data Engineer, you'll design, build, and optimize ETL pipelines and scalable data architectures, ensuring reliability and data integrity for impactful analytics and insights.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

Responsible for building scalable data pipelines, developing automated reporting solutions, and enabling data-driven decision-making.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

As a Senior Data Engineer, you'll design and implement data pipelines, architect AWS data infrastructure, ensure data quality, and support ML model training and inference for an AI-powered cybersecurity product.

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

The Senior Data Engineer will design and manage data pipelines, work with diverse teams on data solutions, and engage in R&D initiatives.

As a Senior Data Engineer II, you will enhance and maintain data processing and storage pipelines, design scalable systems, and collaborate on data products to support business needs.

Design and improve data pipelines for machine learning in AdTech, collaborate on data solutions, manage large data sets, and mentor junior engineers.

Design and build marketing datasets and data pipelines. Collaborate with cross-functional teams to integrate data into marketing processes. Drive data quality and support analytics needs.

As a Data Infrastructure Engineer, you'll develop solutions for massive data orchestration, support ML deployment, and lead technical directions for the team.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.