Job description

About NexHealth

NexHealth’s mission is to accelerate innovation in healthcare. Fixing healthcare is the challenge of our generation. This industry is stuck in the 1990s while affordability and accessibility are spiraling out of control. We currently spend ~20% of GDP on healthcare, while the 25% of the world's data is stuck on legacy and antiquated health systems. NexHealth’s goal is to create an open and modern ecosystem to accelerate innovation in the space. We make it easier for everybody to build in healthcare, and ultimately empower ordinary people with access to more modern, efficient and affordable healthcare solutions.

Founded: 2017
Headquarters: San Francisco, CA
Funding: $177M through Series C
Employees: 190
Website: https://www.nexhealth.com/

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 medical data, you will help NexHealth become a leader in data strategy, intelligence, and customer enablement.

This role is ideal for a Staff-level engineer who has seen and built great data platforms, is not afraid of legacy, and thrives in environments where the vision is clear, the systems are evolving, and the company is depending on data to unlock its next stage of growth.

What You’ll Do

Own the Data Platform

Lead the architectural evolution of our data warehouse, modeling layer, and pipeline structure
Refactor core data models to support fast, self-serve access and shared understanding across teams
Build reliable ingestion and transformation systems that abstract over messy or fragmented inputs

Take responsibility for the structure, reliability, and extensibility of our warehouse and modeling layers
Replace brittle vendor-based pipelines with scalable, maintainable ingestion and transformation infrastructure
Build in observability, alerting, and validation to ensure the platform can scale with confidence

Drive Strategic Data Initiatives

Collaborate closely with Staff-level analysts, engineers, and data consumers to unblock their workflows and enable data insights.
Partner with software engineers to anticipate and manage upstream schema changes and database shifts
Define and enforce clear data contracts and interface boundaries

Shape how the company can eventually leverage data science, customer segmentation, and industry-wide insights

What You’ll Bring

7+ years of experience in data engineering or software engineering with a focus on building scalable, well-tested systems
Advanced fluency in SQL and Python with strong instincts around modular modeling, optimization, and abstraction
Experience building on top of a modern managed data warehouse such as Snowflake, BigQuery, or Redshift
Proven history of taking ambiguous, fragmented data systems and turning them into reliable, documented, high-trust platforms
Ability to operate independently at a Staff level with a high sense of ownership
A background in strong engineering cultures or top-tier product environments where quality, velocity, and ownership coexist
Passion for clarity, simplicity, and helping teams move faster without cutting corners

NexHealth Principles

As Nexers, we are strong owners and first principle thinkers who can execute and deliver fast, hungry for learning and personal growth, and we make sure the company succeeds above all else.

As such, our culture is shaped with the following principles:

Strong ownership: Knows what needs to be done, and gets it done with little or no oversight.
Bias for action: Outcome oriented. Delivers results fast.
Acts with first principles: Describes the ideal end state with first principles, and helps us get there fast.
Growth mindset. Hungry for learning and personal growth.
Company first: Does whatever is right for the company and our customers.