Top Data Engineer Jobs in Vancouver

As a Data Engineer, you'll design data models, build pipelines, manage infrastructure, and implement AI-driven tools, collaborating with stakeholders to solve business challenges.

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

The Data Engineer will design and implement data pipelines, manage data quality, and support data science projects in aviation, collaborating with engineers and scientists.

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, 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.

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.

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.

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.

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 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 Staff Engineer will lead the development of data migration tools, focusing on architecture and mentoring while collaborating on technical strategies to solve complex customer challenges.

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.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

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

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 AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Data Engineer I will assist in building data pipelines, support data ingestion, write SQL queries, and collaborate with analytics teams, focusing on learning best practices in data engineering.

As a Data Engineer, you'll design and maintain data infrastructure, ensuring the reliability and accessibility of data across blockchain ecosystems, while collaborating with cross-functional teams.

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 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.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

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

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

As a Data Engineer, you will design database architecture, manage ETL/ELT pipelines, create financial reporting systems, and ensure data quality in collaboration with finance teams.

Lead architecture and performance improvements for data-intensive distributed systems. Optimize query plans, indexing, caching, and latency (P95/P99) while contributing to JVM backend services and ensuring scalability and reliability for customer-facing platforms.