Top Data & Analytics Jobs in Seattle, WA

The Senior Database Reliability Engineer will design, manage, and optimize PostgreSQL database systems in a cloud environment, ensuring their reliability, performance, and availability. Responsibilities include performance tuning, backup and recovery management, monitoring, security implementations, and documentation while collaborating with cross-functional teams. This role requires extensive operational experience and a strategic approach to database solutions.

As an Oracle Cloud Financials Analyst, you will gather requirements, design solutions, configure Oracle Fusion Financials applications, develop test plans, oversee data migration, provide user training, and offer ongoing support. Strong transactional and analytical skills are required, along with hands-on experience with Oracle applications.

The Senior Test Analyst will design and deliver customer experience solutions, manage testing efforts based on design documents, write and execute test cases, create test data, monitor test progress, and support User Acceptance Testing while assisting clients in understanding the scope of testing.

The Senior Computer Vision Engineer will develop deep learning and analytics pipelines for detecting and classifying dental conditions from x-ray images. This role involves managing data, implementing algorithms based on research, and collaborating with various stakeholders to enhance software medical devices.

The Cyber Threat Hunt Analyst is responsible for creating threat models, planning threat hunt missions, analyzing logs, and reporting risk analysis. This role involves collaborating with teams to enhance threat detection and security posture. Ideal candidates should have experience in network and host analysis and proficiency in scripting languages.

The Data Engineer will analyze and migrate customer data onto the enterprise software platform using ETL processes, collaborating with clients to identify data needs, validating data quality, and managing multiple data conversion projects.

As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.