AI Data Integration Engineer, RCM Systems

Resolv Healthcare RCM is migrating legacy revenue cycle management platforms to its next-generation Resolv Core platform. The AI Data Integration Engineer will build data models, mappings, ETL pipelines, APIs, and data-quality checks, using AI/LLM tooling to integrate complex legacy healthcare systems and ensure reliable production data flows.

Responsibilities:

• Lead the architectural design of integration strategies and solutions that connect various internal and external systems to our central platform
• AI-accelerated mapping & data quality: use AI/LLM tools to speed up schema mapping, field reconciliation, and anomaly detection
• Data modeling & mapping: build data models and source-to-target mapping specs from Practice Management (PM) systems to our AI platform
• Pipelines: design and build ETL processes and REST/SOAP APIs that move data into Resolv Core, per the architect's design
• Data wrangling: cleanse, structure, and enrich source data into Resolv Core's target format
• Pave the path where there's no existing playbook; several of these legacy systems are poorly documented
• Reliability: monitor, troubleshoot, and resolve integration issues in production
• Collaboration: work closely with our AI Architect, product, engineering, operations, and leadership
• Documentation: maintain data models, mapping specs, and pipeline configurations

Requirements:

• A minimum of 5 years in data/system integration or ETL engineering, building production integrations against complex legacy systems
• Technical (AI first):
• Hands-on experience using AI/LLM APIs (e.g., OpenAI, Azure OpenAI) for schema inference, field-mapping/entity resolution, or automated data-quality checks — with concrete examples
• Judgment on the best approach to using AI tooling
• Production-grade proficiency with SQL and experience with relational databases
• Familiarity with Python and JavaScript (or similar scripting language)
• Design, build, and maintain ETL processes, data pipelines, and APIs to facilitate the seamless flow of data between different applications and data sources
• REST and SOAP API development
• Comfortable with JSON, XML, CSV, flat-file, and EDI formats
• Data modeling and mapping-spec authorship
• Understanding of HIPAA and PHI security practices
• Cloud integration platforms; Azure stack (Fabric, Data Lake, SQL, Data Factory) a plus
• HL7/FHIR knowledge
• Healthcare/RCM experience preferred; direct exposure to one or more Practice Management (PM) systems