Data Engineer

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Description

Position Purpose: We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasets—enabling downstream analytics, application logic, and system modernization initiatives. Primary Duties & Responsibilities Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources. Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs. Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements. Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse. Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD). Contribute CI/CD workflows and automation strategies to promote rapi

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