AI Data Integration Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Data Integration Engineer
Location: San Jose, CA
Duration: 12 Months + Extension
Bill Rate: $78/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:
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.


• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.