AI Data Integration Engineer, RCM Systems
Harris Open At a glance
Mid-level Software Engineering role at Harris. Oklahoma, United States · full-time · $150,000–$160,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Set integration architecture for connecting internal and external systems to the central platform
- Use AI and LLM tools to map schemas, reconcile fields, and flag data anomalies
- Model data and write source-to-target mapping specs for Practice Management systems feeding the AI platform
- Build ETL workflows and REST or SOAP APIs, then clean and reshape source data for Resolv Core
- Monitor live integrations, resolve production issues, and maintain models, mapping specs, and pipeline settings
What you bring
- At least five years building data or system integrations, or ETL work, with complex legacy systems in production
- Hands-on use of AI or LLM APIs for schema inference, field matching, or automated data-quality checks, with concrete examples
- Production-level SQL skills and experience working with relational databases
- Working knowledge of Python and JavaScript, or a comparable scripting language
- Experience developing data models, mapping specifications, ETL pipelines, and REST or SOAP APIs
Who this fits
This mid-level role suits an integration engineer comfortable working through poorly documented legacy systems and partnering with architecture, product, engineering, operations, and leadership. Healthcare or revenue-cycle experience and exposure to Practice Management systems are preferred; understanding HIPAA and PHI security is relevant. The stated annual salary range is $150,000 to $160,000.
From the employer
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.
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