Head Of Data Engineering

• 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.
• Were changing that empowering primary care clinics to recover every dollar theyve 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 launchOur 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 modelsIf 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.
• Youll have unprecedented autonomy to shape how we process, analyze, and leverage healthcare data at scale.
• This is not just another data engineering role youre building the nervous system of a platform that will transform healthcare revenue management.
• What youll 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 securityAI/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 carePlatform 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 dataWhat were 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 infrastructureBonus 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 industriesWhat 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 patientsReady 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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