GCP Data Engineer

TechDigital Group; St. Louis (MO); On-site; USD 110,000 - 150,000; Full time

Job summary

TechDigital Group is seeking a Senior GCP Data Engineer to design, implement, and support scalable healthcare analytics solutions on Google Cloud Platform (GCP). The role focuses on building robust data pipelines and enabling semantic-layer-driven reporting for Revenue Cycle Management (RCM) data, leveraging the IBM Unified Data Model for Healthcare (UDMH).

The ideal candidate has extensive experience with BigQuery, Dataflow, Airflow, and Python/Java, with deep knowledge of data warehousing,

Qualifications

• Bachelor's degree in a 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 BigQuery, Dataform, Dataflow, Dataproc, Cloud Storage, Cloud Composer (Airflow).

Responsibilities

• Design, develop, and support scalable healthcare analytics data pipelines on GCP.
• Enable semantic-layer-driven reporting and analytics for Revenue Cycle Management (RCM) data.
• Collaborate with Data Analysts, Data Architects, and Business SMEs to implement the IBM Unified Data Model for Healthcare (UDMH).
• Ensure data quality, performance, and reliability of pipelines and data warehouses.

Skills

ETL/ELT Development

Data Warehousing

Data Modeling

Metadata-Driven Pipeline

Performance Optimization

Healthcare Analytics

RCM Analytics

Education

Bachelor's degree in computer science/Information Systems/Engineering

Tools

BigQuery

Dataform

Dataflow

Dataproc

Cloud Storage

Cloud Composer (Airflow)

Python

Java

SQL

Shell Scripting

Job description

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 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.