AI Data Integration Engineer, RCM Systems

MediSolution; Northern (KY); Hybrid; USD 95,000 - 140,000; 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.
• Proficiency with SQL and relational databases.
• Familiarity with Python and JavaScript (or similar scripting language).
• Design, build, and maintain ETL processes, data pipelines, and APIs.
• REST and SOAP API development.
• Comfort with JSON, XML, CSV, flat-file, and EDI formats.
• 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 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

AI Data Integration Engineer, RCM Systems page is loaded## AI Data Integration Engineer, RCM Systemslocations: Oklahoma, United Statestime type: Temps pleinposted on: Publié hierjob requisition id: R0046866You'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.Harris fournit des solutions logicielles essentielles pour le secteur public, les soins de santé, les services publics et le secteur privé en Amérique du Nord, en Europe, en Asie et en Australie.Travailler pour Harris est l'occasion idéale de réaliser vos objectifs professionnels ainsi que vos rêves personnels!Nos employés bénéficient d'un environnement de travail décontracté qui offre un confort tout en fournissant un service de qualité supérieure à nos clients. Nous offrons un ensemble complet d'avantages sociaux ainsi que d'autres \"avantages\" supplémentaires !* Nous donnons à nos employés les moyens de faire la différence* Nous avons une culture d'entreprise riche* Nous offrons la possibilité d'apprendre* Nous sommes financièrement solides et nous appartenons à la plus grande société de logiciels du Canada (CSI)* On s'amuse beaucoup !Suivez-nous sur les médias sociaux pour en savoir plus sur les valeurs, la culture et les initiatives de notre entreprise !**Harris est un employeur à égalité de chances et d'action positive. Nous considérons les candidats sans considération de race, couleur, religion, âge, origine nationale, ascendance, origine ethnique, sexe, identité de genre, expression de genre, orientation sexuelle, statut matrimonial, statut de vétéran, handicap, information génétique, statut de citoyen ou autre groupe protégé par la loi fédérale, provinciale ou locale.***Si vous souhaitez nous contacter concernant l'accessibilité de notre site Web ou si vous avez besoin d'aide pour remplir le formulaire de demande d'emploi, veuillez nous contacter au (1)-613-226-5611 ou à [e-mail]. Ces informations de contact sont uniquement destinées aux demandes d'accommodement raisonnable et ne peuvent être utilisées pour se renseigner sur le statut des candidatures.****Our commitment to fair and equitable hiring**. As part of our recruitment process, we use artificial intelligence (AI) tools during the initial screening phase to help identify candidates whose qualifications most closely align with the requirements of the role. This technology supports efficiency and consistency in the early stages, but it never replaces human judgement. All subsequent evaluations and final hiring decisions are made by our recruitment professionals. AI does not make final hiring decisions.*