AI-Powered Data Integration Engineer

MediSolution; Oklahoma; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Harris is seeking a data integration engineer to design architectures connecting legacy systems to our central platform. The role emphasizes AI-driven mapping, ETL pipelines, and collaboration with AI Architects and product teams.

You will build source-to-target mappings, ensure data quality, and develop REST/SOAP APIs while handling healthcare data formats (HL7/FHIR). The role requires 5+ years in integration and strong SQL/Python/JavaScript skills.

Qualifications

• Minimum 5 years in data/system integration or ETL engineering, building production integrations against complex legacy systems.
• Healthcare/RCM experience preferred; direct exposure to one or more Practice Management (PM) systems.
• 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.

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.

Skills

SQL

Python

JavaScript

ETL

REST API

SOAP API

HL7/FHIR

HIPAA

AI/LLM

Tools

Azure Data Factory

Azure Data Lake

Data Factory

Job description

Harris is seeking a data integration engineer to design architectures connecting legacy systems to our central platform. The role emphasizes AI-driven mapping, ETL pipelines, and collaboration with AI Architects and product teams.

You will build source-to-target mappings, ensure data quality, and develop REST/SOAP APIs while handling healthcare data formats (HL7/FHIR). The role requires 5+ years in integration and strong SQL/Python/JavaScript skills.