Top Data Engineer Jobs in Vancouver

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

Lead Data Engineer responsible for designing, building, and maintaining scalable flight and maintenance data pipelines and analytics products. Collaborates with product teams, developers, and data scientists; implements CI/CD, performs code reviews and testing, and drives cloud-based architecture and operational excellence.

Design scalable data pipelines and support AI/ML workflows by collaborating with teams to enable LLM-powered applications and develop data models.

Design, build, and scale cloud-first data infrastructure and high-volume ETL/ELT pipelines. Ensure data quality, security, and performance; collaborate with Analytics, Product, and Design teams; optimize storage and compute, and enable cross-functional data access and insights.

Design, build, and scale cloud-first data infrastructure and high-throughput pipelines. Implement ELT/ETL, ensure data quality, optimize performance, and collaborate with Analytics, Product, and Security teams to enable reliable, secure data access.

Design, build, and scale cloud-first data pipelines, manage ELT/ETL workflows, ensure data quality and security, optimize performance, and enable Analytics/Product teams through robust data infrastructure.

Design, build, and maintain data pipelines and reporting solutions (Metabase) to ensure accurate, optimized datasets and user-friendly dashboards for analytics and decision-making.

As a Data Engineer, design and optimize data pipelines, analyze data, troubleshoot database issues, and collaborate with engineers and analysts to ensure data accuracy and usability.

Design, build, and maintain scalable batch and near-real-time data pipelines and Big Data solutions. Analyze and transform healthcare data, optimize data warehouse/lake performance, implement security, de-identification, and role-based access, and automate release and deployment processes. Serve as a technical leader and mentor to ensure successful delivery and production readiness of data engineering, ML, and BI solutions.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Senior Software Engineer will develop a data migration suite, focusing on backend services, utilizing Java and streaming technologies, while collaborating with product teams.

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

Lead end-to-end personalization initiatives: define problems, build and deploy machine learning and statistical models for recommendations and layout optimization, integrate scalable solutions with engineering and product, monitor performance, communicate insights to stakeholders, and mentor junior data scientists.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

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.

As a Data Engineer, you will design and build data infrastructure, ensuring data continuity, modernizing data systems, and collaborating with teams to optimize data workflows.

Build and maintain petabyte-scale data platform components for ingestion, storage, and processing. Contribute to data lake modernization, enable AI/ML workflows, integrate with partner teams, and participate in on-call operations and incident response.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

The Data Engineer will enhance the data platform, develop and optimize ETL pipelines, build infrastructure, and collaborate with internal teams.

As a Senior Data Engineer, you'll design and manage ETL pipelines, optimize data models, monitor data quality, and collaborate with teams to support compliance operations.

As a Senior Software Engineer on the Data Integrations and Transformations Platform, you'll design and maintain backend services, mentor engineers, and enhance data access for business-critical applications.

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.