---
title: 'Senior Data Engineer at HealthLeap'
canonical: 'https://feeny.ai/job/senior-data-engineer-healthleap-san-francisco-fgwmzh8dx3s2'
type: 'job'
last_seen: '2026-10-15'
---

# Senior Data Engineer at HealthLeap

- **Company:** HealthLeap
- **Location:** San Francisco, CA
- **Compensation:** $175k–$275k
- **Employment:** full-time
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/healthleap/16f352ef-d59b-4865-a4e0-6ce41aaa7637

## Job description

## About Healthleap

Every day, millions of hospitalized patients who need intervention are missed because clinicians simply can't see everything. HealthLeap is building the AI operating system that helps care teams identify these missed patients, enabling them to improve health outcomes and generate millions of dollars. HealthLeap is changing what is possible: closing gaps that traditional workflows and clinician capacity could never. Over the past year, we've grown contracted revenue more than 13x, expanded rapidly across leading health systems, and now help care teams identify patients across millions of inpatient encounters. We're ~25 people. >$32M raised. SF-based, hybrid-friendly. And, we're delivering results that are changing lives. Senior Data Engineer

## About the role

HealthLeap runs on data. We’re live at 40+ hospitals and plan to add another 100. You’ll build the core pipelines that move messy clinical data from hospital systems into model inputs, analytics, and the APIs behind what clinicians see.

You’ll make that data usable and reliable. When a feed arrives late, a field changes, or a number looks wrong, you’ll trace it through the system and fix the cause.

## What you’ll do

- 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.

## What we’re looking for

- 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.

What will make you stand out

- Experience building data pipelines for ML products.
- Experience with clinical data, EHRs, HL7, or FHIR.
- Early-stage experience building and operating core data systems.

This role is NOT for you if

- You want to own one piece of the data stack. You’ll work across ingestion, model inputs, analytics, and product APIs.
- You want predictable 9-to-5 hours. We protect deep rest, but a hospital go-live can mean a 60+ hour week.

Interview process No LeetCode or puzzles. Use the tools you’d use on the job, including AI.

- Intro call
- Data pipeline design
- Practical data exercise
- Onsite with the team in San Francisco

We decide the same week as the onsite.

## Compensation and benefits

- $175,000–$275,000 base plus meaningful equity
- 100% covered healthcare premiums
- Unlimited PTO with a 20-day minimum
- 4% 401(k) match
- Laptop and home office budget

Location San Francisco, in person. We work together in the office by default, with flexibility to work from home when needed. We judge output, not hours.

If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future.

## About HealthLeap

## Company Overview
- **One-liner**: HealthLeap provides an AI-powered clinical screening platform that helps hospitals identify and treat malnutrition earlier by analyzing electronic health record (EHR) data.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2022
- **Founders**: Josiah Meyer (CEO, Co-Founder) and Jemima Meyer, RD(SA) (Co-Founder)

## Core Business
- **Primary industry**: Healthcare technology / Clinical AI
- **Target customers**: B2B – hospitals and health systems (enterprise)
- **Mission**: "Maximize the health outcomes of as many people as possible" – a world where hospitals catch problems before they become emergencies.

## Products & Services
- **[AI Malnutrition Screening Platform](https://healthleap.ai/)**: An AI-driven clinical decision support tool that integrates with EHR systems to automatically prioritize patients at risk of malnutrition. It surfaces risk scores, severity tracking, and prioritization alerts to accelerate targeted clinical intervention. The tool is the only commercially available, peer-reviewed validated platform in this category.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: >$8M raised (total funding, per careers page); CBInsights reports $1.2M total raised (conflicting reports – the careers page is more recent). Investors include Hummingbird Ventures, Cedars-Sinai Accelerator, and Fifty Years.
- **Notable Investors/Partners**: Hummingbird Ventures, Cedars-Sinai Accelerator, Fifty Years; clinical partnerships with Cedars-Sinai, Johns Hopkins, Stanford Health, Houston Methodist.
- **Growth Signals**: 7× revenue growth in 7 months (June 2025 – Dec 2025); deployed at Houston Methodist and across Cedars-Sinai; ~15 person team; peer-reviewed validation study published.

## Competitive Advantages
- **Only validated AI malnutrition screening tool on the market** – peer-reviewed study with Cedars-Sinai, Johns Hopkins, and Stanford showing AUROC of 95% (91% on first day), 88% higher sensitivity than nurse-administered screening, and 4 days earlier identification.
- **Defensive clinical niche** – helps hospitals improve quality metrics, reduce length of stay, and defend against retroactive payer claim denials.
- **Proven ROI**: $11M/year per site in revenue and cost savings for one partner (Cedars-Sinai).

## Strategic Focus
- Current priorities include expanding deployment across large health systems, maximizing screening consistency, and reducing length of stay. The company is moving past actionable risk scores toward earlier, pre-admission identification.

## Why Work Here
- **Culture**: Early-stage (~15 people) with meaningful ownership; "early enough to shape the product." In-person team based in San Francisco’s Mission District, hybrid-friendly (3–5 days in office). Relocation covered.
- **Compensation**: Market-leading salaries, equity, 100% of employee health insurance premiums covered, 4% 401(k) match, unlimited PTO (recommended minimum 20 days), equipment budget.
- **Engineering culture**: At the heart of the AI revolution; focus on responsible AI that empowers clinicians. Fast growth (7× revenue in 7 months) means real impact.
- **Mission-driven**: "Make a difference in the future of healthcare" – direct patient outcomes improvement.

## Sources
1. [healthleap.ai](https://healthleap.ai/)
2. [healthleap.ai/about](https://www.healthleap.ai/about)
3. [careers.healthleap.ai](https://careers.healthleap.ai/)
4. [healthleap.ai/careers](https://healthleap.ai/careers)
5. [cbinsights.com](https://www.cbinsights.com/company/healthleap-1)

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