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Senior Data Engineer

HealthLeap· Engineering
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San Francisco Office$175k - $275k + equityFull-timePosted 3w ago

About the role

Senior Data Engineer responsible for building and operating the core data pipelines that ingest, transform, and deliver clinical data for ML models, analytics, and APIs at HealthLeap.

Responsibilities

  • Build and operate 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 that catch missing records, schema changes, and incorrect values.
  • Handle backfills, late data, failures, and recovery.
  • Work with integration, ML, and product engineers to get data reliably where it needs to go.

Qualifications

  • 5+ years building production data systems, with strong Python and SQL.
  • Experience owning pipelines that depend on messy, changing external data.
  • Strong data modeling and judgment about correctness, monitoring, and recovery.
  • The ability to trace a problem across systems and own the fix through production.

Skills

Required:PythonSQLData modelingData quality and monitoring

Benefits

  • 100% covered healthcare premiums
  • Unlimited PTO with a 20-day minimum
  • 4% 401(k) match
  • Laptop and home office budget
Last updated Sep 30, 2026. Interested? Apply on the company site.

About HealthLeap

HealthLeap is an AI screening 'safety net' for every hospitalized patient.

HealthLeap is an AI screening 'safety net' for every hospitalized patient. HealthLeap's first product is daily malnutrition screening for all patients, but this is only the first condition. HealthLeap is the only validated AI screening tool for malnutrition on the market. They help the right patients get care earlier, and help health systems increase appropriate reimbursement that they're currently leaving on the table.

malnutritionAI screeninghospital careEHR datacontinuous screeningvalidation studyCedars-SinaiJohns Hopkins
Company profileWebsite

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