ProcDNA

Lead enterprise data engineering engagements for life sciences and pharma clients, architecting scalable cloud data platforms and pipelines while providing technical thought leadership. The role combines hands-on architecture, client leadership, team development, and delivery excellence across AWS, Azure, Databricks, and Snowflake.

ProcDNA is seeking a Cloud Data Engineer to build and optimize scalable data pipelines and cloud-based data platforms using Python, SQL, Databricks, and AWS or Azure. The role combines hands-on data engineering with data quality, governance, monitoring, and stakeholder collaboration.

Build data engineering and analytics solutions for pharmaceutical and life-sciences clients, transforming complex datasets into actionable business insights. The role combines data warehousing, pipeline development, visualization, governance, and direct customer engagement.