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Head of Data Engineering

Head of Data Engineering

Stealth Healthcare AI StartupSão Paulo, BR
Há 13 dias
Descrição da vaga

Who we are

We’re a stealth-stage healthcare AI startup on a mission to transform how medical practices capture revenue.

At the intersection of clinical documentation, billing, and value-based care, our technology bridges the long-standing gap between patient care and financial performance.

Today, providers lose an estimated 16% of their revenue to denials, under-coding, and compliance issues. We’re changing that — empowering primary care clinics to recover every dollar they’ve earned , while surfacing new revenue opportunities through AI-driven automation .

We are :

  • Backed by seasoned healthcare tech founders and leaders from top US health insurers
  • Live with our first client and preparing for a high-impact pilot launch

Our platform solves the most painful bottlenecks in healthcare operations :

  • Real-time AI support at the point of care
  • Automated medical coding and billing optimization
  • Intelligent workflows for claim follow-up and denial reduction
  • Seamless alignment with value-based care models
  • If you're excited about building mission-critical technology that improves outcomes for both providers and patients , join us. The opportunity to make an impact is massive.

    Why this role is perfect for you

    This is your opportunity to architect and build the data infrastructure for a revolutionary healthcare AI platform — from the ground up .

    You’ll have unprecedented autonomy to shape how we process, analyze, and leverage healthcare data at scale.

    This is not just another data engineering role — you’re building the nervous system of a platform that will transform healthcare revenue management.

    What you’ll be doing (Hands-on — builder mindset!)

    Data architecture leadership

  • Design and build scalable data infrastructure for massive clinical and billing datasets
  • Architect real-time pipelines for AI-driven healthcare applications
  • Define data governance frameworks , ensuring HIPAA compliance and security
  • AI / ML infrastructure

  • Build and optimize data flows for LLMs and machine learning applications
  • Develop feature pipelines for healthcare-specific AI models
  • Support real-time AI inference at the point of care
  • Platform development

  • Create APIs and data services that integrate with EHRs and billing platforms
  • Build observability and monitoring for complex data workflows
  • Implement disaster recovery and backup strategies for mission-critical healthcare data
  • What we’re looking for

  • 10+ years building production-grade data systems at scale
  • Expert in Python and SQL (Go is a plus)
  • Deep experience with AWS (Redshift, RDS, EMR, etc.)
  • Strong skills with Docker, Kubernetes, and IaC
  • Proven experience with streaming data , ETL / ELT , and workflow orchestration
  • Built pipelines for ML / AI applications , including vector databases and LLM-related infrastructure
  • Bonus points if you have

  • Experience in healthcare tech (EHRs, RCM)
  • Understanding of FHIR, HL7, HIPAA , and healthcare interoperability
  • Familiarity with the US healthcare system and regulatory environments
  • Built data systems for regulated industries
  • What we offer

  • Ground-floor opportunity in a stealth startup with massive potential
  • High ownership — direct impact on product and technical decisions
  • Path to build and lead a data team as we scale
  • Work with world-class engineers and healthcare veterans
  • Access to cutting-edge AI / ML technologies and healthcare datasets
  • Fully remote , flexible hours (optimized for Brazil time zones)
  • Competitive salary + significant equity upside
  • Mission-driven work — improving healthcare outcomes for clinics and patients
  • Ready for the challenge?

    If you're a senior data engineer who loves building complex systems from scratch and wants to make a real impact in healthcare , this is your chance.

    Apply now and help us transform healthcare revenue management through the power of data and AI.

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    Head Of Engineering • São Paulo, BR

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