Description
TetraScience is hiring a Senior Scientific Data Engineer to lead its Scientific Data Engineering team and build data products and productizable solutions for life sciences data. The role involves designing data models, parsers, pipelines, applications, dashboards, and integrations; working with product, solution architecture, project, business analysis, data architecture, and machine learning teams; delivering customer-focused implementations; and mentoring junior engineers. Candidates need at least 8 years of data engineering or similar experience, strong Python and SQL skills, project and delivery experience, and the ability to lead internal design sessions and architect solutions.
