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Senior Gcp Data Engineer Healthcare Rcm

  • Job type Posted on: Jul 24, 2026
  • Experience level Shrive Technologies LLC
  • Employment type St. Louis, Missouri
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Gcp Data Engineer Healthcare Rcm

Job Type :

Full-time

Job Location :

St. Louis Missouri United States

Remote :

No

Jobcon Logo Job Description :

Role - Senior GCP Data Engineer (Healthcare / RCM Analytics)
Location - St Louis, MO(Remote)

Job Details:

We are seeking a highly skilled Senior GCP Data Engineer to design, develop, and support scalable healthcare analytics solutions on Google Cloud Platform (GCP). The candidate will work closely with Data Analysts, Data Architects, and Business SMEs to support the implementation of the IBM Unified Data Model for Healthcare (UDMH), create robust data pipelines, and enable semantic-layer-driven reporting and analytics for Revenue Cycle Management (RCM) data.
The ideal candidate should have extensive experience with BigQuery, Dataform, Dataflow, Dataproc, Airflow, Python, Java, and SQL, and possess a strong understanding of data warehousing, semantic layer concepts, and healthcare data processing.

Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
7+ years of experience in Data Engineering and Data Warehousing.
4+ years of hands-on experience with Google Cloud Platform (GCP).
Strong experience with:
o BigQuery, Dataform, Dataflow, Dataproc, Cloud Storage, Cloud Composer (Airflow)

Programming
Python, Java, SQL,Shell Scripting
Data Engineering
ETL/ELT Development, Data Warehousing, Data Modeling, Data Quality Frameworks, Metadata-Driven Pipeline, Performance Optimization

Domain Knowledge
Healthcare Analytics
Revenue Cycle Management (RCM)
IBM UDMH
Clinical and Financial Data Structures


Success Criteria
Successfully delivers scalable and reliable GCP data pipelines.
Enables accurate and efficient source-to-UDMH transformations.
Supports semantic layer development for business reporting and analytics.
Ensures high data quality, performance, and operational reliability.
Partners effectively with architects, analysts, and business stakeholders to deliver healthcare analytics solutions.

Jobcon Logo Position Details

Posted:

Jul 24, 2026

Reference Number:

5752-10115

Employment:

Full-time

Salary:

Not Available

City:

St. Louis

Job Origin:

CIEPAL_ORGANIC_FEED

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Role - Senior GCP Data Engineer (Healthcare / RCM Analytics)
Location - St Louis, MO(Remote)

Job Details:

We are seeking a highly skilled Senior GCP Data Engineer to design, develop, and support scalable healthcare analytics solutions on Google Cloud Platform (GCP). The candidate will work closely with Data Analysts, Data Architects, and Business SMEs to support the implementation of the IBM Unified Data Model for Healthcare (UDMH), create robust data pipelines, and enable semantic-layer-driven reporting and analytics for Revenue Cycle Management (RCM) data.
The ideal candidate should have extensive experience with BigQuery, Dataform, Dataflow, Dataproc, Airflow, Python, Java, and SQL, and possess a strong understanding of data warehousing, semantic layer concepts, and healthcare data processing.

Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
7+ years of experience in Data Engineering and Data Warehousing.
4+ years of hands-on experience with Google Cloud Platform (GCP).
Strong experience with:
o BigQuery, Dataform, Dataflow, Dataproc, Cloud Storage, Cloud Composer (Airflow)

Programming
Python, Java, SQL,Shell Scripting
Data Engineering
ETL/ELT Development, Data Warehousing, Data Modeling, Data Quality Frameworks, Metadata-Driven Pipeline, Performance Optimization

Domain Knowledge
Healthcare Analytics
Revenue Cycle Management (RCM)
IBM UDMH
Clinical and Financial Data Structures


Success Criteria
Successfully delivers scalable and reliable GCP data pipelines.
Enables accurate and efficient source-to-UDMH transformations.
Supports semantic layer development for business reporting and analytics.
Ensures high data quality, performance, and operational reliability.
Partners effectively with architects, analysts, and business stakeholders to deliver healthcare analytics solutions.

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