Top Data Engineer Jobs in Vancouver

Design and maintain data pipelines, analyze data sources, implement process improvements, and serve as a technical leader in data engineering initiatives.

As a Data Engineer at Remarcable, you will build AWS Lakehouse infrastructure, ELT pipelines, and data models, ensuring data quality and driving AI/ML capabilities for the organization.

The QA Data Engineer will validate data engineering code, create automation frameworks, monitor data quality reports, collaborate on deploying data solutions, and address production issues while maintaining high code quality.

The Senior Software Development Engineer will design and implement scalable backend services, lead team projects, and mentor junior engineers while ensuring system scalability and reliability.

The role involves building scalable data pipelines for the Replica product, ensuring efficient data flow for training and evaluation while collaborating with ML engineers.

The Software Development Engineer II will design and build backend services and APIs, improve system quality, and support onboarding of new engineers in a distributed systems environment.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

As a Data Engineer, you'll design and maintain data pipelines, model data for analytics, ensure data quality, and collaborate with teams to meet data needs.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

The Data and Systems Integration Engineer provides data analysis, system integration, and customer support, focusing on PACS and cloud platforms while ensuring system performance and customer satisfaction.

Design and build scalable data ingestion pipelines and modernize Block's CDC platform while collaborating cross-functionally to ensure data flows reliably for analytics and ML initiatives.

The Data Engineer will assist clients with SAP security design, implement SAP security, develop authorization profiles, and conduct security reviews.

The Senior Staff Software Engineer will architect Affirm's lakehouse analytics platform, implement data governance, mentor engineers, and collaborate cross-functionally to optimize data infrastructure and solutions.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

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

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Senior Data Engineer is responsible for architecting and delivering scalable data infrastructure and pipelines while collaborating across teams, integrating AI capabilities, and mentoring other engineers.

As a Sr. Data Engineer, you'll design and manage data pipelines, enhance data quality, and leverage AI to streamline operations, driving the success of our AI growth platform for real estate.

As an Intermediate Data Engineer, you will develop data infrastructure and products, collaborate with diverse teams, and enhance technical quality across the data team.

As a Data Engineer, you'll develop storage infrastructure, collaborate with teams, implement data systems, and contribute to product strategy. You'll work with advanced AI systems and process production-grade data.

Seeking a Data Scientist / ML Engineer to design, build, and maintain scalable machine learning systems, focusing on neural network improvements and ML architecture. Responsibilities include development and deployment of ML models, data pipelines, and MLOps implementation.