Lead AI-Powered Data Integration Engineer

MediSolution; Northern (KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Harris is looking for an AI Data Integration Engineer in Oklahoma to design integration strategies and build robust data pipelines. You will leverage AI/LLM tools for schema inference and data quality checks, while modeling data and mapping sources to the AI platform.

You will develop ETL processes, REST/SOAP APIs, and data wrangling pipelines to ensure clean, compliant data flows into Resolv Core, collaborating with cross-functional teams to document specifications and improve reliability.

Qualifications

• 5+ years in data/system integration or ETL engineering, building production integrations against complex legacy systems.
• Healthcare/RCM experience preferred; exposure to PM systems is a plus.
• Hands-on experience using AI/LLM APIs (e.g., OpenAI, Azure OpenAI) for schema inference and data-quality checks.

Responsibilities

• Lead the architectural design of integration strategies and solutions connecting internal and external systems to our central platform.
• AI-accelerated mapping & data quality: use AI/LLM tools for schema mapping, field reconciliation, and anomaly detection.
• Data modeling & mapping: build data models and source-to-target mapping specs from PM systems to our AI platform.
• Pipelines: design and build ETL processes and REST/SOAP APIs moving data into Resolv Core.
• Data wrangling: cleanse, structure, and enrich source data for Resolv Core's target format.
• Pave the path where no playbook exists; document legacy systems thoroughly.
• Reliability: monitor, troubleshoot, and resolve production integration issues.
• Collaboration: work with AI Architect, product, engineering, operations, and leadership.
• Documentation: maintain data models, mapping specs, and pipeline configurations.

Skills

AI/LLM APIs

SQL

Python

JavaScript

REST APIs

SOAP APIs

JSON/XML/CSV/EDI

HIPAA/PHI security

Data modeling

Data quality

Tools

Azure Data Factory

Azure Data Lake

HL7/FHIR

Azure Fabric

Job description

Harris is looking for an AI Data Integration Engineer in Oklahoma to design integration strategies and build robust data pipelines. You will leverage AI/LLM tools for schema inference and data quality checks, while modeling data and mapping sources to the AI platform.

You will develop ETL processes, REST/SOAP APIs, and data wrangling pipelines to ensure clean, compliant data flows into Resolv Core, collaborating with cross-functional teams to document specifications and improve reliability.