AI Data Integration Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-10-06). Last seen at its source 1h ago.
We have tracked this listing since 6 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Argentina, Parugauy, Asuncion, Ecuador, Bolivia, LA, Bogota, Medellin, Chile, Uruguay, Peru, Dominican Republic, Nicaragua, Panama, Honduras, Mexico
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $4,300–7,062/mo
Middle 50% of 20 listings that do state pay — Engineering · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 4d ago · last seen 1h ago
The listing
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Job Title: AI Data Integration Engineer (RCM Systems)
Location | Remote
Time Zone | US Time Zones (EST–PST)
Role Overview:
We are seeking an AI Data Integration Engineer to support a healthcare revenue cycle management (RCM) company. The company is moving its legacy RCM platforms (MD Suite, PrognoCIS, CareTracker and Cortex) onto a new central platform. You will build the data models, mappings, pipelines and data quality checks behind the migration. You will use AI/LLM tools every day to speed up mapping and catch data issues early. The ideal candidate is hands-on and comfortable working with legacy systems that have little documentation.
Key Responsibilities:
- Build data models and source-to-target mapping specs from Practice Management (PM) systems such as MD Suite, PrognoCIS, CareTracker and Cortex to the new platform
- Use AI/LLM tools to speed up schema mapping, field reconciliation and data quality checks
- Design and build ETL pipelines and REST/SOAP APIs to move data into the new platform
- Cleanse, structure and enrich source data into the required target format
- Monitor, troubleshoot and resolve integration issues in production
- Work closely with the AI Architect, product, engineering and operations teams
- Maintain clear documentation of data models, mapping specs and pipeline configurations
Required Qualifications:
- Minimum of 5 years of experience in data/system integration or ETL engineering, building production integrations with complex legacy systems
- Hands-on experience using AI/LLM APIs (such as OpenAI or Azure OpenAI) for schema mapping, entity resolution or automated data quality checks
- Strong SQL skills and experience with relational databases
- Working knowledge of Python and JavaScript (or similar scripting languages)
- Experience building REST and SOAP APIs and working with JSON, XML, CSV, flat-file and EDI formats
- Understanding of HIPAA and PHI security practices
- Strong written and spoken English with a clear, professional communication style
- Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Preferred Qualifications:
- Healthcare or RCM experience, including exposure to Practice Management (PM) systems such as MD Suite, PrognoCIS, CareTracker or Cortex
- HL7/FHIR knowledge
- Experience with cloud integration platforms, ideally the Azure stack (Fabric, Data Lake, SQL, Data Factory)
Tools & Technology:
- MD Suite, PrognoCIS, CareTracker and Cortex (legacy RCM platforms)
- AI/LLM APIs (OpenAI, Azure OpenAI)
- SQL and relational databases
- Python and JavaScript
- Azure (Fabric, Data Lake, SQL, Data Factory)
- Slack, Zoom, and other remote collaboration tools
Please NOTE:
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.
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