Top Remote Data Engineer Jobs in Seattle, WA
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Privacy Analyst will focus on privacy risk management and regulatory compliance, conducting privacy impact assessments, collaborating with stakeholders, and ensuring organizational compliance across multiple privacy frameworks like GDPR and HIPAA.
As a Privacy Analyst Consultant, you will support privacy assurance operations by conducting compliance assessments, evaluating controls, and advising on implementations. You'll perform quality assurance for reports, maintain SOPs, and collaborate with teams to meet compliance goals.
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The AWS Data Architect will develop and manage data pipelines, ensuring data quality, define data models, collaborate with business analysts, and implement data governance principles. Additionally, they will enable data-driven decision-making through expert guidance on data consumption and work on continuous integration processes for data pipelines.
The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.
Responsible for designing, developing, and enhancing AWS data environments, including setting up AWS Data Platform and building scalable Data Lake solutions. The role requires expertise in data engineering and optimizing complex Data Pipelines.
As a Senior ETL Data Engineer, you will develop and maintain ETL processes using Informatica PowerCenter, perform data analysis, support data warehouses, and collaborate with users to enhance data delivery for financial operations.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
As a Quality Engineer, you'll assist in monitoring product and process quality, investigate quality issues, and coordinate improvement initiatives using data analysis. You will measure performance through KPIs, maintain dashboards, analyze trends, and ensure data integrity in a cross-functional environment.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
Top remote Companies in Seattle, WA Hiring Data + Analytics Roles
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