Principal Data Engineer

About Curative AI, Inc.

Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting‑edge AI‑powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry‑transforming AI technology, intelligent automation, and deep data insights. Unlike most tech startups, we have achieved financial break‑even within our first year, with signed customer contracts for $30+M in 2025 projected revenues through our AI healthcare solutions deliveries.

Headquartered in Bellevue/Seattle, we have built a sizable top‑notch tech team in the US, and a large talented offshore team. We now enter a rapid growth phase, hiring aggressively to scale the US‑based team to 100+ employees in 2025. Our vision is bold: to achieve a valuation of over $1 billion within the next 18 months by continuing to deliver exceptional solutions and expanding our market presence.

This is an exceptional opportunity to join an early‑stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential.

Curative AI, Inc. is seeking a highly skilled and experienced Principal Data Engineer for our rapidly growing company. Our cutting‑edge AI platform and tools will transform healthcare management, leading with RCM solutions for streamlined documentation, faster claims processing, enhanced clinical decision support, and much more. You will play a pivotal role in designing, building, and maintaining the data infrastructure that supports our data‑driven initiatives.

You will work closely with cross‑functional teams to identify and prioritize data infrastructure needs, develop and implement data pipelines, and ensure the quality and reliability of our data. You are humble, a dedicated team player, and excited for the road ahead. Come work with a CEO renowned in the AI field with a proven record of building high‑performing teams, fostering career growth, and creating a positive work culture.

Let’s make healthcare smarter together.

• Build & Own Data Pipelines: Design, implement, and optimize scalable data ingestion and ETL pipelines in Azure Databricks to integrate diverse data sources (EHRs, billing/claims, CRM, HRIS, scheduling, etc.).
• Healthcare Data Integration: Work with APIs, HL7, FHIR, X12/EDI, and other healthcare data standards to connect with platforms like Collaborate
  
  MD, Availity, Salesforce Health Cloud, Ensora Health, and EMRs.
• Data Platform Innovation: Contribute to the design of our AI‑first data platform, supporting real‑time data flows, vector search, embeddings, and LLM integrations.
• Data Quality & Governance: Implement robust monitoring, error handling, observability, and governance for sensitive PHI/PII data in compliance with HIPAA.
• AI Enablement: Partner with data scientists and ML engineers to make high‑quality, structured, and unstructured data available for training, inference, and real‑time AI agents.
• Performance at Scale: Optimize pipelines and storage for high throughput, low latency, and cost efficiency.
• Innovation Mindset: Rapidly prototype solutions for complex data challenges — doing things no one has done before in AI‑driven healthcare RCM and clinical operations.

• You must currently be located in the Seattle Metro Region and able to work hybrid on‑site a minimum of three days at our Bellevue location
• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• Core Engineering Skills
  • 7+ years professional experience as a Data Engineer (or equivalent).
  • Expertise with Azure Databricks, Spark, Delta Lake, and Azure Data Lake
    .
  • Strong in Python, PySpark, SQL
    , and API integrations (REST, Graph
    
    QL).
  • Proven experience with real‑time data pipelines (Kafka, Event Hubs, streaming).
• Healthcare Domain (Preferred but Not Required)
  • Knowledge of EHRs, HL7, FHIR, X12/EDI, RCM, EMR data models
    .
  • Familiarity with payer/provider workflows, claims, and clinical documentation.
• AI/Next‑Gen Skills (Big Plus)
  • Experience enabling LLM/AI pipelines (vector databases,…