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Staff Data Engineer

NexHealth - San Francisco, California, United States

Posted Jul 8, 2025

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

80% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Staff Data Engineer San Francisco, California, United States About NexHealth Our healthcare system remains frustratingly analog. When you live in a world of one-tap car rides, instant meal delivery, and unlimited streaming, why do you still have to call to schedule a doctor's appointment and fill out a clipboard in the waiting room? NexHealth's mission is to accelerate innovation in healthcare by connecting patients, providers, and developers. We're building the infrastructure layer for modern healthcare, connecting thousands of fragmented, on-premise, and closed EHR systems into a single, modern platform that powers software, APIs, payments, and patient experiences across the ecosystem. - Founded: 2017 - Headquarters: San Francisco, CA - Funding: $177M Series C - Employees: 200+ - Trusted by tens of thousands of providers and hundreds of health-tech developers - forging the infrastructure layer that modern healthcare needs About The Role As our Staff Data Engineer , you will own and evolve the foundational data systems that power NexHealth's analytics and unlock the next generation of customer-facing insights. This is a hands-on, high-ownership role that combines architectural influence with deep execution. We need to expand our data capabilities for scale and improve our daily operations and enable self-service. You will drive the transformation of our data infrastructure. You will design data pipelines, refactor the warehouse architecture, and lay down the modeling foundations that enable trusted analytics across the company. This work directly supports our mission to become the API for healthcare. With access to a rich and growing corpus of

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