Top Data Engineer Jobs in Ottawa

As a Data Engineer at J.D. Power, you will enhance automotive industry data processes, collaborating with various teams to develop and maintain data products that solve complex client challenges. Your responsibilities include troubleshooting ETL processes, implementing data engineering best practices, and contributing to new product development.

As an NLP Data Engineer, you'll design, build, and maintain data pipelines for automated trading systems, manage subsystems, and engage in R&D of machine learning models to enhance execution systems.

As a Data Engineer at Edge & Node, you will develop and maintain data ingestion adapters for various blockchain networks, implement data ingestion strategies, handle data quality checks, and optimize block ingestion processes. You will collaborate with upstream data sources and contribute to the growth of a decentralized web3 ecosystem.

The Data Engineer will build and maintain Perplexity's data pipelines and infrastructure, working with cross-functional teams to support analytics and machine learning applications, while ensuring scalable and efficient data processing systems.

As a Data Engineer at Treasury Prime, you will design, build, and maintain data pipelines and ETL processes to support data flow and analytics. Collaborating with cross-functional teams, you will ensure data integrity, quality, and accessibility, while optimizing workflows for performance and scalability.

The Data Engineer is responsible for developing robust data pipelines and ensuring the quality and security of data integration processes. This includes participating in agile teams, performing integration testing, and diagnosing data quality issues. Strong communication skills and client-facing experience are essential for driving project delivery and supporting customs' success through collaboration.

The Data Engineer will design and maintain scalable data pipelines and ETL processes, leveraging cloud platforms for data infrastructure. Responsibilities include optimizing data storage and retrieval, collaborating with cross-functional teams, and addressing data-related challenges. The candidate will also support ad-hoc data requests and ensure high-quality data solutions for marketing analytics.

As a Data Engineer, you'll be responsible for designing and implementing data pipelines using Spark and Scala while ensuring data quality, optimizing workflows, and integrating data solutions that meet business needs. You'll collaborate with teams to build efficient data processing systems and support data analysis efforts.

As a Data Architect/Principal Data Engineer at Scribd, the role involves leading the design and development of data architecture, guiding data modeling, integration, processing, and delivery standards for modern data products. This position requires expertise in building robust data systems, developing data pipelines, and collaborating with cross-functional teams to enhance data strategies for customer satisfaction.

The ML Data Engineer will develop and maintain ETL pipelines for machine learning, focusing on feature engineering, data integration, model training, and compliance. Responsibilities include optimizing data quality and performance, supporting model lifecycle management, and deploying high-performance pipelines for real-time inference.

As a Data Engineer at StackAdapt, you will design modular, scalable real-time data pipelines, implement custom machine learning algorithms, and work on microservice architectures for training and monitoring ML models. Collaboration with data scientists and engineers is key to solving complex data challenges in a rapidly evolving digital advertising space.

As a ML Data Engineer II, you'll design and develop data pipelines to extract, enrich, and process metadata. You'll work with teams to deliver scalable metadata solutions and maintain systems at scale, ensuring data accuracy and quality through automation.

The Senior Data Engineer at Canopy Growth will manage operational support and the development of data architecture, build data pipelines, maintain ETL processes, and ensure data integrity. The role involves collaboration with various teams to optimize data systems and implement governance policies.

As a Staff Data Engineer at Afresh, you'll design and implement ETL processes to manage large datasets, collaborate with various teams to create data solutions, and mentor engineers while optimizing data processing efficiency.

As a Data Operations Engineer at Labelbox, you will optimize data labeling workflows, utilizing Python and SQL to automate tasks and troubleshoot issues. You'll improve data quality, ensure efficient operations, and integrate third-party tools. Your role emphasizes building and maintaining tools, technical support for labelers, and monitoring performance metrics.

As a Senior Software Engineer on the Data Platform team at Coinbase, you will design, build, and operate foundational data services, develop data integration SDKs, and create self-service applications for data management and security. You will work with data systems and pipelines, ensuring scalability, security, and efficiency in data processing for analytics and machine learning.

As a Senior Data Engineer at Mozilla, you will focus on managing and modeling data for analytics, collaborating with data scientists and engineers to develop scalable data models and ETL pipelines, improve data infrastructure, and ensure compliance with data governance practices.