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Senior Data Engineer at HealthLeap - ApplyBlast

Senior Data Engineer

HealthLeap

26 days ago

San Francisco, California, United States

Onsite

Full Time

Senior

0 applicants

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About this role

HealthLeap is seeking a Senior Data Engineer to build and maintain core data pipelines that transform messy clinical data from hospital systems into reliable inputs for machine learning models, analytics, and user-facing APIs. The role involves ensuring data usability and reliability by tracing issues, defining data contracts, and handling data recovery across ingestion and delivery processes. This position requires close collaboration with integration, ML, and product engineers to ensure data is delivered accurately and on time.

Responsibilities

Build and operate data pipelines from hospital ingestion through transformation and delivery
Produce trusted data for ML pipelines, customer analytics, and user-facing APIs
Define data contracts and checks to catch missing records, schema changes, and incorrect values

Skills

About HealthLeap

healthleap.ai

Healthleap is a healthcare AI company that provides inpatient risk-screening solutions for hospitals, with its flagship product being a daily AI malnutrition screening tool that analyzes adult inpatient EHR data and writes nutrition-risk scores into the EHR flowsheet each morning to help registered dietitians prioritize high-acuity patients. Its malnutrition module is the only commercially available, peer-reviewed AI malnutrition screening tool, validated in co-authored research with leaders from Cedars-Sinai, Johns Hopkins, and Stanford and published in Applied Clinical Informatics. Healthleap is extending its EHR-native daily screening intelligence to other conditions such as delirium, aspiration pneumonia, congestive heart failure readmissions, and pressure injuries, delivering measurable improvements in reimbursement, length of stay, and severity capture for health systems.