Top Data Engineer Jobs in Vancouver
As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
The Senior Data Engineer at Babylist will enhance data platforms for impactful decision-making, focusing on building and scaling ML pipelines. Responsibilities include collaborating with various teams to implement robust data engineering solutions and managing cloud data resources in AWS while maintaining a high standard of coding.
The Staff Data Engineer will design scalable data pipelines, optimize performance, and manage data governance while collaborating with architecture leadership. They will support BI development using tools like Looker and ensure alignment with business goals by validating requirements with stakeholders.
As a Data Engineer at Clover, you will develop and maintain data pipelines, tools for analytics, and machine learning. Collaborate with cross-functional teams to design ETL programs, manage data governance, and improve data quality while leading projects and mentoring junior team members.
The Senior Data Engineer will design, develop, and maintain data products for Block, focusing on cloud infrastructure, ETL/data modeling, and collaboration with various stakeholders. The role requires coding in Python and SQL, maintaining an AWS cloud platform, and mentoring team members while handling complex data projects.
As a Data Engineer at StackAdapt, you will design scalable real-time data pipelines and implement custom machine learning algorithms. You'll collaborate with data scientists and engineers, working on microservice architectures for training and inference of ML models, tackling complex problems for an innovative digital advertising platform.
As a Senior Associate Data Engineer, you'll handle automotive industry data, performing tasks related to data cleaning, quality assurance, and basic data operations. You'll develop relationships within teams and proactively address issues in data processes and production pipelines to enhance product quality.
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
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The Data Engineer will maintain data models for Coalition’s business, ensuring data accuracy and availability through efficient ETL processes. Responsibilities include collaborating with stakeholders on KPIs, enhancing analytics efficiency, and mentoring junior staff.
As a Data Engineer at Edge & Node, you will enhance Graph Node's capabilities, work with complex Rust code, assess performance, and document important aspects of the software while collaborating with a team on improving data processing and querying engines.
The Data Engineer will enhance and maintain data capabilities focusing on automotive industry data. Responsibilities include developing data pipelines, resolving data issues, collaborating with stakeholders, and generating insights from complex datasets.
The Data Engineer will design and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dashboards with Superset, and develop data pipelines with Airflow for integration and automation. Requires 3+ years of experience and expertise in relevant technologies.
The Senior Data Engineer is responsible for ingesting, cleansing, transforming, and loading large datasets into cloud infrastructure. This role involves designing complex data systems, maintaining data standards, and automating processes while ensuring the reliability and stability of these systems. Additional responsibilities include documentation, vendor coordination, and providing consultative support to business needs.
The Data Engineering Manager will advance data engineering maturity and self-service BI at ZayZoon, managing data pipelines and infrastructure design. Responsibilities include optimizing data platforms, mentoring a data engineering team, leading projects, and fostering collaboration with stakeholders to improve data-driven decision making.
As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and infrastructure, supporting data integration and collaboration with data scientists and analysts to facilitate data-driven decision making.
The Data Engineer will design databases, manage complex data sets, and develop self-service dashboards. They will apply analytical skills to derive insights for solving business problems and enhance data analytics capabilities within the company.
The Data Engineer will leverage Azure's data stack to design, develop, and deploy innovative data solutions for diverse clients. Responsibilities include developing data pipelines, supporting data modernization, managing technology implementation, improving internal repositories, and fostering client relationships.
The Staff Data Engineer will design and implement scalable data pipelines and systems to solve complex problems involving data, machine learning, IoT, and cloud infrastructure. This role includes contributing to enterprise architecture and collaborating with engineers to propose technical solutions that integrate with ecobee’s broader systems.
Design, build, and maintain scalable ETL/ELT pipelines for data ingestion and transformation. Implement solutions to support analytics and machine learning, integrating diverse data sources and developing data warehousing solutions. Optimize data workflows and monitor infrastructure performance while collaborating with teams to ensure high-quality data solutions.
As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.
As a Senior Data Engineer, you will construct applications for global operations, enhance existing data components, and innovate product functionalities. You will collaborate with various teams, leveraging large-scale data technologies and ensuring data integration and analysis with platforms like Hadoop and Snowflake.
The Senior/Staff Data Engineer will design scalable, real-time data pipelines for StackAdapt's digital advertising platform, work on big data ML pipeline improvements, implement custom ML algorithms, and collaborate with data scientists and engineers on complex projects.
The Senior Data Engineer will manage and optimize databases and data pipelines, ensuring their reliability and performance. Key responsibilities include administering Postgres, Redshift, and DynamoDB, implementing security best practices, automating database tasks, and collaborating with developers to enhance database design and queries.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
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