AI Data Integration Engineer — AI-Driven ETL & Data Quality

Ethereum Technologies LLC; San Jose (CA); On-site; USD 89,000 - 126,000; Full time

Job summary

Ethereum Technologies in San Jose, CA is seeking an AI Data Integration Engineer to lead integration of legacy systems with our central platform. You will design ETL pipelines, apply AI/LLM-driven mapping, and build data models and mapping specs for source-to-target data flows.

This role emphasizes HIPAA-aware data handling, REST/SOAP APIs, and production-grade data movement across cloud environments. The ideal candidate has 5+ years in data integration, strong SQL skills, and experience with AI

Qualifications

• 5+ years in data/system integration or ETL engineering in production.
• Healthcare/RCM experience preferred; PM systems exposure.
• Hands-on AI/LLM usage for schema inference and data quality checks.
• Production-grade SQL and relational databases expertise.
• Design and maintain ETL pipelines and APIs.

Responsibilities

• Lead the architectural design of integration strategies and solutions.
• Use AI-accelerated mapping and data quality checks.
• Build data models and mapping specs from PM systems to AI platform.
• Design ETL processes and REST/SOAP APIs for data movement.
• Wrangle data into Resolv Core's target format.
• Monitor and resolve production integration issues.
• Collaborate with AI Architect, product, engineering, operations, leadership.
• Maintain data models, mapping specs, and pipeline configs.

Skills

ETL engineering

Data integration

SQL proficiency

API development

Data modeling

HIPAA security

Cloud integration

AI/LLM usage

Legacy mapping

Tools

OpenAI API

Azure OpenAI

SQL

REST API

SOAP API

Job description

Ethereum Technologies in San Jose, CA is seeking an AI Data Integration Engineer to lead integration of legacy systems with our central platform. You will design ETL pipelines, apply AI/LLM-driven mapping, and build data models and mapping specs for source-to-target data flows.

This role emphasizes HIPAA-aware data handling, REST/SOAP APIs, and production-grade data movement across cloud environments. The ideal candidate has 5+ years in data integration, strong SQL skills, and experience with AI