L3Harris

AI Data Integration Engineer, RCM Systems

L3Harris • $100K — $120K *
Oklahoma City, OK 73160In-Person
Healthcare
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years in data/system integration or ETL engineering, especially with legacy systems.
  • Healthcare/RCM experience preferred, particularly with Practice Management (PM) systems.
  • Hands-on experience with AI/LLM APIs for schema inference and data quality checks.
  • Proficient in SQL and relational databases, with production-grade skills.
  • Familiarity with Python and JavaScript or similar scripting languages.
  • Experience in designing and maintaining ETL processes and APIs.
  • Knowledge of HIPAA and PHI security practices.

Responsibilities

  • Lead architectural design of integration strategies connecting various systems to the central platform.
  • Utilize AI tools for accelerated schema mapping and anomaly detection.
  • Build data models and mapping specs from PM systems to the AI platform.
  • Design and implement ETL processes and APIs for data movement into Resolv Core.
  • Cleanse and structure source data into the target format for Resolv Core.
  • Navigate poorly documented legacy systems to create effective solutions.
  • Monitor and resolve integration issues in production environments.
  • Collaborate with AI Architect, product, engineering, and leadership teams.
  • Maintain documentation for data models, mapping specs, and pipeline configurations.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunity to work with cutting-edge AI technologies.
  • Engagement in meaningful projects within the healthcare sector.
  • Professional development opportunities in data integration and AI.
  • Flexible work arrangements to support work-life balance.
Full 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.

About L3Harris

L3Harris Technologies, Inc. is an American technology company, defense contractor and information technology services provider that produces C6ISR systems and products, wireless equipment, tactical radios, avionics and electronic systems, night vision equipment, and both terrestrial and spaceborne antennas for use in the government, defense, and commercial sectors. They specialize in areas such as electronic warfare and night vision. L3Harris Technologies was formed on June 29, 2019, through the merger of Harris Corporation and L3 Technologies. The company is based in Melbourne, Florida.
Learn more about L3Harris
Size
50,000 employees
Industry
Aerospace & Defense
* Ladders Estimates

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