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The role involves full-stack development with a focus on data engineering and end-to-end ownership of customer-facing technical projects. You will be responsible for scoping, delivering, and building batch data pipelines that process large volumes of structured and unstructured data.
Full-stack generalist covering the entire stack end-to-end with a spike in data engineering
3 - 8 years of experience in software engineering, data engineering, or forward-deployed engineering working under tight-deadlines and adapting to changing customer requirements
Experience at a VC-backed FDE company, early-stage startup, OR big tech with broad scope
Experience in a customer-facing technical role with end-to-end ownership from scoping through delivery
Built batch data pipelines processing large volumes of structured & unstructured data at scale
Education
Degree in Computer Science, Physics, or related technical field
Hard skills
Working understanding of AI/ML training workflows
Proficiency with ETL and SQL
Nice-to-have
Experience operating in healthcare data environments with PHI compliance
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