Senior Data Engineer
DeepHealth
Senior Data Engineer
Senior Data Engineer needed to own key data topics across products, including dataset creation, data export, annotation workflows, and performance monitoring, and drive them end to end. Requires a Master's degree in a health-related or scientific field and 5+ years of relevant experience in data management, data engineering, or data science, ideally in healthcare or medical imaging. The role involves building reusable pipelines and automation, making structuring decisions on data architecture, and mentoring junior data team members.
Senior Data Engineer
Senior Data Engineer needed to own key data topics across products, including dataset creation, data export, annotation workflows, and performance monitoring, and drive them end to end. Requires a Master's degree in a health-related or scientific field and 5+ years of relevant experience in data management, data engineering, or data science, ideally in healthcare or medical imaging. The role involves building reusable pipelines and automation, making structuring decisions on data architecture, and mentoring junior data team members.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Own one or several data topics across products, such as dataset creation, data export, annotation workflows, and performance monitoring, and drive them end to end.
- Design and maintain reusable tooling, including pipelines, dashboards, and automation, for the data team and for stakeholders who need to access, explore, or use the data.
- Make structuring decisions on technical implementation, team tooling, and data architecture, and maintain codebase quality and process efficiency.
- Surface actionable insights from the data lake by identifying, structuring, and delivering relevant information to product, AI, and clinical stakeholders.
- Drive the targeting and collection of relevant data.
- Build and structure medically consistent and representative datasets.
- Establish annotation guidelines and training so annotation quality stays consistent.
- Contribute to ongoing oversight and refinement of AI algorithm performance.
- Mentor more junior data team members through technical guidance and knowledge sharing.
- Write automated tests and apply code versioning and review standards to data processes and tools.