DATA ENGINEERS

Design and engineer large-scale data pipelines and analytical platforms using Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Pub/Sub, Dataproc, Cloud Composer (Airflow), and Cloud Functions. Develop and optimize ELT and ETL workflows using Python, SQL, and PySpark to ingest, transform, and validate operational, clinical, and external healthcare datasets. Implement analytical data models and machine-learning-ready data marts, and support the deployment and integration of AI and ML frameworks within GCP-based data platforms. Master’s degree in Science, Technology, or Engineering (any) is required.

Minimum Education Required Masters ### Compensation $113,506.00 - $113,506.00 / Yearly ### Hours Per Week 40 ### Number Of Positions 5 ### Shift First Shift (Day) ### Job Description Architect and engineer analytics data solutions to support enterprise-scale data platforms and reporting needs.

Design, build, and maintain scalable data solutions that enable analysts to securely access operational, derived, and external datasets.