Data Platform Lead for AI & Cloud Pipelines

Guidehouse; United States; On-site; USD 149,000 - 248,000; Full time

Benefits offered by this job

Medical Insurance

Holidays

Discretionary bonus

Parental Leave

401(k)

Life Insurance

Health Savings Account

Disability Insurance

Tuition Reimbursement

Learning Opportunities

Skills Development

Employee Referral Program

Mobility Stipend

Job summary

Guidehouse is seeking a Data Engineer to design, develop, and deploy data pipelines across a Revenue Cycle Management (RCM) platform. You will build scalable, production-grade data systems powering AI-enabled workflows for claims, denials, AR management, coding, and performance analytics.

You will design cloud-native data platforms, data lakes, and orchestration, while collaborating across enterprise systems to ensure data quality and governance.

Qualifications

• 7+ years of data engineering experience.

Responsibilities

• Design and build scalable data pipelines for RCM use cases.
• Develop ingestion frameworks for structured and unstructured data.
• Implement ETL/ELT pipelines and data transformations.
• Build and maintain data lake/data fabric architectures.
• Integrate data across enterprise systems and APIs.
• Ensure data quality, lineage, and governance.
• Support data services for AI/ML and analytics workflows.
• Deploy and manage data workloads in cloud environments using DevOps practices.

Skills

SQL

Python

Cloud data platforms

ETL/ELT

Data pipelines

Data modeling

Data quality & governance

APIs integration

CI/CD & DevOps

Distributed processing

Tools

Azure Data Factory

Airflow

AWS

GCP

Job description

Guidehouse is seeking a Data Engineer to design, develop, and deploy data pipelines across a Revenue Cycle Management (RCM) platform. You will build scalable, production-grade data systems powering AI-enabled workflows for claims, denials, AR management, coding, and performance analytics.

You will design cloud-native data platforms, data lakes, and orchestration, while collaborating across enterprise systems to ensure data quality and governance.