Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.
Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.
At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.
Bring your perspective. Raise the standard. Build what matters.
In This Role
You will contribute to the development of AI training datasets by building and maintaining Python-based data processing pipelines. You will work with large-scale structured and unstructured datasets, transforming raw documents and text into high-quality, validated data for AI model training. This role requires hands-on experience creating datasets from the ground up, developing scalable data workflows, and managing data processing in Azure environments.
You will collaborate with data scientists and engineering partners to improve data quality, processing efficiency, and dataset reliability while ensuring data integrity, traceability, and security.