AI Data Integration Engineer
Hire Hangar · Remote · Argentina - Buenos Aires · Parugauy - Asuncion · Ecuador - Guayaquil · Bolivia - Santa Cruz de la Sierra · Columbia - Bogotá · Columbia - Medellín · Chile - Santiago · Uruguay - Montevideo · Peru - Lima · Dominican Republic - Santo Domingo · Nica ·
COMPENSATION
$30k – $36k
Listed on the employer's job board (Ashby)
- Fully remote (US hours)
- 5+ years experience
- AI/LLM integration
- Healthcare RCM focus
- Video interview required
You will support the migration of legacy Revenue Cycle Management systems to a new central platform. Your work focuses on building data models, mappings, and pipelines while leveraging AI tools to accelerate schema mapping and ensure data quality.
What you'll do
- Build data models and mapping specs from legacy PM systems to the new platform
- Use AI tools to accelerate schema mapping and data quality checks
- Design ETL pipelines and APIs for data migration
- Cleanse and structure source data into target formats
- Monitor and resolve production integration issues
- Collaborate with AI architects, product, and engineering teams
- Document data models and pipeline configurations
What you'll need
- At least 5 years in data integration or ETL engineering
- Experience using AI/LLM APIs for schema mapping or data quality
- Strong SQL skills and relational database experience
- Proficiency in Python and JavaScript
- Experience building REST/SOAP APIs and handling JSON, XML, EDI
- Understanding of HIPAA and PHI security practices
- Fluent English and prior remote work experience with US/UK firms
Nice to have
- Experience with Healthcare RCM or Practice Management systems
- Knowledge of HL7/FHIR standards
- Familiarity with Azure integration stack like Fabric or Data Factory
Stack
- MD Suite
- PrognoCIS
- CareTracker
- Cortex
- OpenAI
- Azure OpenAI
- SQL
- Python
- JavaScript
- Azure Fabric
- Azure Data Lake
How you'll work
- Fully remote position
- Must work within US time zones (EST to PST)
- Requires video recording as part of the application process
Hiring process
- Complete the full application form
- Record a required video introduction
- Receive email confirmation if selected for next steps