AI Data Integration Engineer, RCM Systems

Harris Computer; Oklahoma; On-site; USD 150,000 - 160,000; Full time

Benefits offered by this job

Health benefits

Stock options

Career development opportunities

RRSP matching

Job summary

Harris Computer is seeking a senior data integration engineer in the United States to design and implement integration strategies across legacy and modern systems. You will lead AI-assisted schema inference, field reconciliation, and data quality checks while building robust ETL pipelines and APIs to move data into Resolv Core.

Applicants should have 5+ years in complex data integrations, with healthcare/RCM exposure preferred.

Qualifications

• Minimum 5 years in data/system integration or ETL engineering.
• Healthcare/RCM experience preferred; exposure to Practice Management systems.

Responsibilities

• Lead architectural design of integration strategies and solutions.
• AI-accelerated mapping, data quality, and anomaly detection.
• Build data models and mapping specs from PM systems to our AI platform.
• Design and build ETL processes and REST/SOAP APIs for data movement.
• Cleansing, structuring, and enriching source data for Resolv Core.
• Mentor onpath and document data models and pipelines.
• Monitor, troubleshoot, and resolve production integration issues.
• Collaborate with AI Architect, product, engineering, operations, and leadership.

Skills

SQL

Python

JavaScript

ETL design

API development

REST API

SOAP API

Data modeling

HL7/FHIR

HIPAA security

AI/LLM tools

JSON

XML

EDI

Tools

Azure Data Factory

OpenAI API

Azure OpenAI

REST

Job description

You'll use it to turn raw legacy schemas and documentation into first-pass mapping specs, reconcile inconsistent field names and codes across systems, and catch data-quality problems that manual review would miss before they hit production.

Key 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.

Qualifications

Experience: A minimum of 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 Managenent (PM) systems.

Technical (AI First)

• 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.

The potential salary range for this role is $150,000.00 USD to $ 160,000.00 per year. Final compensation will be based on experience, skills, market conditions, and internal equity. We offer a competitive Total Rewards program including health benefits, RRSP matching, stock options, and career development opportunities.