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Has Salary
Data Engineer
Train and validate medical AI models faster with instant access to millions of de-identified, diverse imaging studies from real-world clinical environments.
Education Requirements:
BSc or BEng in computer science or related field
Experience Requirements:
4+ years industry experience
Strong Mid or Senior level
Experience with Google Cloud, AWS or Azure
Strong Python and SQL experience
Experience with Apache Beam (or similar e.g. Spark, Flink, Dataflow)
Other Requirements:
Solid understanding of Linux systems
Version control and CI/CD using Github and Github Actions
Familiarity working with image datasets
Experience building systems where security and privacy are first-class concerns
Experience with healthcare compliance frameworks (HIPAA)
Responsibilities:
Working with sensitive healthcare data, including de-identification
Building scalable data processing pipelines for large, image-heavy datasets
Using distributed computing (Google Cloud)
Building and maintaining systems that scale (App Engine, Cloud Functions)
Deploying ML models in production
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