Architectural Analysis, Business Development, Clinical Data, Cloud Computing, Cloud Storage, Computer Science, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Structures, Data Warehousing, Database Extract Transform and Load (ETL), GCP (Good Clinical Practices), Healthcare, IBM Product Family, Java, Metadata, Performance Tuning/Optimization, Python Programming/Scripting Language, Revenue Analysis, Revenue Management, SQL (Structured Query Language), Scalable System Development, Systems Engineering
LOCATION
St Louis, MO(remote)
POSTED
3 days ago
GCP Data Engineer (Healthcare / RCM Analytics)
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 Big Query, Data form, 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.