AI Data Integration Engineer

Hire Hangar, Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Hire Hangar, Inc. seeks an AI Data Integration Engineer to support a healthcare revenue cycle management environment. The role migrates legacy platforms to a central platform, building data models, mappings and ETL pipelines, while using AI/LLM tools daily for faster schema mapping and data quality checks.

The engineer will work with PM systems like MD Suite, PrognoCIS, CareTracker and Cortex, and ensure robust APIs and data quality in a remote-friendly setup.

Qualifications

• 5+ years in data/system integration or ETL engineering with legacy systems.
• Experience using AI/LLM APIs for schema mapping or data quality checks.
• Strong SQL skills with relational databases.
• Experience building REST and SOAP APIs; familiar with JSON, XML, CSV, and EDI formats.
• Understanding of HIPAA/PHI security practices and strong English communication; remote-work experience.

Responsibilities

• Build data models and mappings from legacy PM systems to the new platform.
• Use AI/LLM tools to speed up mapping 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 for target format.
• Monitor, troubleshoot and resolve integration issues in production.
• Collaborate with AI Architect, product, engineering and operations teams.
• Maintain documentation of data models, mappings and pipeline configurations.

Skills

SQL

Data integration

ETL engineering

AI/LLM APIs

API design

Documentation

English communication

Remote collaboration

Tools

REST APIs

SOAP APIs

EDI formats

JSON/XML/CSV

Azure Cloud

Slack/Zoom

Job description

Job Title: AI Data Integration Engineer (RCM Systems)

Location | Remote

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
• 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)
• SQL and relational databases
• Slack, Zoom, and other remote collaboration tools