Top Remote Data Engineer Jobs in Portland, OR

Zone & Co is seeking a Business Intelligence Engineer with expertise in Power BI, Azure, and SQL. Responsibilities include data modeling, report creation, DAX and SQL scripting, integration, performance tuning, collaboration, and staying up-to-date with the latest BI trends.

Looking for a Senior Data Engineer to work on enhancing datasets and data products with a focus on data quality and best practices. Responsibilities include working with SQL, analyzing complex data, building ETL pipelines, collaborating with peers, and optimizing solutions. Qualifications include 5+ years of Data Engineering, knowledge of data quality tools, and hands-on experience with continuous integration tools. Bachelor's degree in a technical field preferred. Unlimited paid time off and various benefits are offered. The company's mission is to provide free access to information while prioritizing consumer privacy and security.

As a Tableau Administrator at GitLab, you will manage Tableau Cloud environment, provide technical support, collaborate with analytics teams, and optimize Tableau efficiency. This role requires effective communication, collaboration skills, and the ability to thrive in a fully remote organization.

The VP of Corporate Data Services at Applied Systems will lead a team of data scientists and engineers, develop data strategies aligned with business objectives, oversee data transformations to a modern datalake, and drive data-driven decision-making across the organization.

Senior Specialist, Data Science role at a global healthcare company involving designing and creating machine learning models, retraining systems, model governance, and performance evaluation. Requires 2+ years of data science/engineering experience with skills in Python, R, NLP, and computer vision.

Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.

Develop and maintain marketing databases, datasets, and pipelines for advanced segmentation, targeting, and analytics. Manage critical data pipelines and facilitate data integration and transformation. Improve data architecture, quality, monitoring, and availability. Work with stakeholders to understand data needs.