Automation Engineer responsible for automating metadata ingestion, validation processes, and governance enforcement. Focuses on developing solutions for Federal healthcare data governance initiatives.
Responsibilities
Design and implement automated metadata ingestion workflows using government-provided Structured Query Language (SQL), Python, and R tools for systematic data extraction across diverse system types
Develop automated validation processes including completeness checks, accuracy verification, and quality scoring with automated alerts and issue flagging capabilities
Build governance enforcement automation including stewardship accountability workflows, approval routing, and metadata quality monitoring with Service Level Agreement (SLA) tracking
Create compliance workflow automation ensuring Health Insurance Portability and Accountability Act (HIPAA), Federal regulatory, and organizational requirement adherence with automated reporting
Implement automated metadata harvesting capabilities targeting schemas, data elements, relationships, lineage indicators, and quality signals across heterogeneous systems
Develop validation frameworks testing metadata accuracy against manual inventory findings using rule-based checks and human-in-the-loop validation processes
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