AI Data Integration Engineer, RCM Systems
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Before you apply
Salary$150k – $160k
LocationOklahoma, United States
Typefull-time
SenioritySenior
Experience5+ yrs
EquityIncluded
Company size501–1,000 people
First seenOct 4, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
A minimum of 5 years in data/system integration or ETL engineering, building production integrations against complex legacy 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
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
Healthcare/RCM experience preferred; direct exposure to one or more Practice Management (PM) systems
Cloud integration platforms; Azure stack (Fabric, Data Lake, SQL, Data Factory) a plus
HL7/FHIR knowledge
Skills
SQL
Python
JavaScript
REST API
SOAP API
JSON
XML
CSV
EDI
HL7/FHIR
OpenAI
Azure OpenAI
Azure Fabric
Azure Data Lake
Azure SQL
Azure Data Factory
HIPAA
Benefits
Health insurance
401(k)
Stock options
Career development
About the role
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.
Benefits
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.