Premera Blue Cross

Data Engineer

• Create, modify, and test code, forms, and scripts that construct data sets for Data Science and Business Intelligence.
• Develop, implement, and maintain ETL scripts, data models, and data pipelines.
• Translate business needs into requirements and specifications for data processes and tools.
• Troubleshoot issues and solve problems independently and collaboratively.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements.
• Perform other duties as assigned.

Data Engineer I, Workforce Management

AI Engineer

• Develop components of larger AI systems and frameworks for AI applications and products.
• Assist in the development of prototypes and minimum viable AI/ML products before contributing substantial resources.
• Assist in the implementation of large complex cloud-based AI systems by focusing on individual components.
• Support senior AI Engineers in implementing data pipelines that underly large complex AI systems.
• Assist in implementing low latency APIs within a larger microservices architecture for powering AI models and services.
• Assist in the monitoring of deployed models and participate in a reporting process that ensures optimal model performance.
• Actively participate in a team that exercises principled, agile-like development practices.
• Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations.
• Follow peer review procedures for all assigned work.
• Keep abreast of new tools and concepts through reading documentation or literature and actively practice skills development.
• This is a telecommuter position, working from home.

Data Engineer I, Workforce Management

AI Engineer II