Senior Data Platform Lead for AI-Driven RCM

Guidehouse

United States

Remote

USD 149,000 - 248,000

Full time

12 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Paid Holidays
Sick Time
Parental Leave
Tuition Reimbursement
Learning Opportunities
Mobility Stipend
Referral Program

Job summary

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

This role includes designing cloud-native data platforms, data lakes, and pipeline orchestration, supporting analytics and AI use cases. 7+ years of experience and strong SQL/Python are required.

Qualifications

  • Minimum of seven (7)+ years of overall work experience.
  • Strong SQL and Python skills; experience with cloud data platforms (Azure, AWS, or GCP).
  • Experience with ETL/ELT and large-scale data processing.

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 modern DevOps practices

Skills

SQL
Python
Cloud Platforms
ETL/ELT
Data Governance
APIs
CI/CD
Spark

Tools

Azure Data Factory
AWS
GCP

Job description

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

This role includes designing cloud-native data platforms, data lakes, and pipeline orchestration, supporting analytics and AI use cases. 7+ years of experience and strong SQL/Python are required.

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