AI Data Integration Architect – AI Mapping & Data Quality

Valiant Technologies LLC; San Jose (CA); On-site; USD 91,000 - 124,000; Full time

Job summary

Valiant Technologies LLC in San Jose, CA is seeking an AI Data Integration Engineer to turn legacy schemas into first-pass mapping specs and ensure clean, production-ready data flows.

You will design architectures for connecting internal and external systems, apply AI-assisted mapping and data quality checks, and build robust ETL pipelines with SQL, REST and SOAP APIs to feed our central platform while maintaining HIPAA compliance.

Qualifications

• Minimum 5 years in data/integration or ETL engineering for production systems.
• Healthcare/RCM experience preferred; exposure to PM systems.
• Experience using AI/LLM APIs for schema inference and data quality checks.
• Production-grade SQL proficiency and API design experience.
• Knowledge of HIPAA security practices and PHI handling.

Responsibilities

• Lead architectural design of integration strategies connecting internal and external systems.
• Apply AI-assisted mapping and data quality checks to accelerate schema alignment.
• Model data and create source-to-target mapping specs for PM systems to AI platform.
• Design ETL pipelines and REST/SOAP APIs to move data into Resolv Core.
• Wrangle data into target formats and document models and pipelines.
• Maintain reliability by monitoring and resolving production integration issues.
• Collaborate with AI Architect, product, engineering, ops, and leadership.
• Document data models, mappings, and pipeline configurations.

Skills

AI/LLM usage

Data modeling

Data quality checks

Cloud integration concepts

HIPAA security awareness

Tools

SQL

REST API design

SOAP API design

Azure Data Factory

ETL pipelines

Job description

Valiant Technologies LLC in San Jose, CA is seeking an AI Data Integration Engineer to turn legacy schemas into first-pass mapping specs and ensure clean, production-ready data flows.

You will design architectures for connecting internal and external systems, apply AI-assisted mapping and data quality checks, and build robust ETL pipelines with SQL, REST and SOAP APIs to feed our central platform while maintaining HIPAA compliance.