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Senior Google Cloud Platform Data Engineer (Healthcare / RCM Analytics)

HPTech Inc.United States🇺🇸United StatesPosted 24 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role - Senior Google Cloud Platform Data Engineer (Healthcare / RCM Analytics)
Location - St Louis, MO
(Remote)
W2/C2C


Job Details:

We are seeking a highly skilled Senior Google Cloud Platform Data Engineer to design, develop, and support scalable healthcare analytics solutions on Google Cloud Platform (Google Cloud Platform). 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 (Google Cloud Platform).
•    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 Google Cloud Platform 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. 

Skills

SQL
Shell
ETL
Airflow
BigQuery
Google Cloud
Java
Python

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