Data Architect - Azure, Python, - Snowflake - Health

Job Summary: We are looking for a detail-oriented and technically skilled Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs

Job Overview We are seeking a highly skilled Google Cloud Platform Data Engineering Lead / Google Cloud Platform Tech Lead / Google Cloud Platform Tech Manager to support enterprise cloud transformation and healthcare data initiatives. The candidate must have strong hands-on experience with Google Cloud Platform, BigQuery, Airflow, DataProc, and modern data engineering practices. Responsibilities Lead and guide Google Cloud Platform-based data engineering teams in architecture, development, and

Location Portland, OR(Hybrid) / REMOTE Experience - 10+ Years We are seeking a results-driven and analytical Data Engineer. This role will focus on measuring, analyzing, and improving clinical, operational, and financial outcomes across the enterprise. The ideal candidate will bring deep expertise in healthcare analytics, outcomes measurement, and performance improvement to help drive data-informed strategies that enhance member health and organizational effectiveness. Key Responsibilities:

Job Summary We are seeking a skilled Data Engineer with strong experience in Google Cloud Platform (Google Cloud Platform) to design, develop, and optimize scalable data pipelines. The ideal candidate will have hands-on experience in data ingestion, transformation, and processing using BigQuery, Cloud Composer, and Dataflow. Key Responsibilities Design and implement scalable data ingestion and transformation pipelinesDevelop and optimize ETL/ELT workflows on Google Cloud PlatformBuild and manage