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Responsibilities: 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 CollaborateMD, 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. Qualifications:
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, GraphQL). 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, embeddings, LangChain, RAG). Familiarity with
agentic AI workflows
and
real-time orchestration . Interest in integrating unstructured data (clinical notes, PDFs, images) into structured pipelines.
Mindset & Traits
Entrepreneurial, resourceful, and fast-learning. Thrives in ambiguity and "greenfield" challenges. Excited to push boundaries in
AI-powered healthcare data platforms .
What We Offer
Opportunity to build a
first-of-its-kind AI healthcare data platform
used in real-world clinical and RCM workflows. A team that values
innovation, boldness, and velocity . Competitive compensation, equity, and benefits. A culture of ownership, learning, and impact.
Compensation and Benefits:
Base Salary Range: $155,000 - $190,000 per year (commensurate with experience and qualifications) Target Annual Performance Bonus Equity Package: Generous equity participation in the company's future success Comprehensive benefits package including medical, dental, vision, Life and AD&D insurance. Paid time off and holidays
Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non-merit-based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings to our company, and we are committed to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions.
Compétences linguistiques
- English
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