Senior Data Engineer (Contractor)

Role Overview We are seeking a Senior Data Engineer to build and operate enterprise-grade data pipelines using Microsoft Azure as the orchestration layer and Snowflake as the enterprise data lake/warehouse. Focus on reliable ETL/ELT, push/pull data integration patterns, and scalable platform engineering in a GxP/validated environment. Key Responsibilities Design and build batch and incremental data pipelines using Azure-native orchestration services to move data into and out of Snowflake. Support push and pull architectures across files, APIs, enterprise applications, and external partners. Develop curated, consumption-ready datasets in Snowflake using standardized, reusable patterns. Implement data quality and reconciliation controls within pipelines. Follow CI/CD and controlled deployment practices across Dev/QA/Prod environments. Ensure solutions meet GxP expectations for data integrity, traceability, auditability, and change control. Partner with Quality, Validation, and platform teams to support compliance and audit readiness. Data Catalog, Metadata & Governance Enablement: publish/maintain data assets, schemas, lineage; support certified datasets, ownership, and usage transparency. Requirements 10+ years of hands‑on data engineering experience. Strong experience with Microsoft Azure orchestration/integration services. Strong experience with Snowflake (data lake/warehouse). Proven ETL/ELT and push/pull integration pattern experience. Experience in regulated/validated (GxP) environments. Strong SQL and data engineering fundamentals. Enterprise data platforms and multi-domain data architectures. Familiarity with CI/CD, role-based access control, and secure data sharing. Experience with Data Catalog tools and implementation. Experience integrating ERP, manufacturing, or other regulated systems. #J-18808-Ljbffr Scorpion Therapeutics