Senior Data Platform Engineer for AI-Driven RCM

Guidehouse; Washington (District of Columbia); On-site; USD 149,000 - 248,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave and Adoption Assistance

Tuition Reimbursement

Job summary

Guidehouse is seeking a Data Engineer to support the design, development, and deployment of data pipelines across an RCM platform, building scalable production-grade data systems powering AI-enabled workflows in claims, denials, AR management, coding, and analytics.

You will design cloud-native data platforms, data lakes/fabrics, and pipeline orchestration, integrating data across enterprise systems while ensuring quality, lineage, and governance; you will work in a DevOps environment deploying

Qualifications

• 7+ years of data engineering experience in production.
• Strong SQL and Python skills.
• Experience with cloud data platforms (Azure/AWS/GCP).
• ETL/ELT and large-scale data processing expertise.
• Knowledge of data modeling, data quality, governance, and lineage.
• Experience with API integration and data ingestion patterns.
• CI/CD and DevOps practices for data pipelines.
• Familiarity with distributed processing (Spark).

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 transformation logic.
• Build and maintain enterprise 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.

Skills

SQL

Python

Data pipelines

ETL/ELT

Data modeling

Data quality

Governance

CI/CD for data

DevOps for data

Distributed processing

Tools

Azure Data Factory

AWS

GCP

Airflow

Spark

Job description

Guidehouse is seeking a Data Engineer to support the design, development, and deployment of data pipelines across an RCM platform, building scalable production-grade data systems powering AI-enabled workflows in claims, denials, AR management, coding, and analytics.

You will design cloud-native data platforms, data lakes/fabrics, and pipeline orchestration, integrating data across enterprise systems while ensuring quality, lineage, and governance; you will work in a DevOps environment deploying