Splunk / Cribl Engineer - Cybersecurity Engineering (Hybrid)

Role: Data Engineer within Cyber Security Engineering at AbbVie, focusing on expanding data capabilities to enhance security analytics and protect business assets. Responsibilities: design and optimize data pipelines for SIEM and downstream tools; develop data models, normalize unstructured logs, verify data integrity, and manage data lineage; integrate diverse telemetry sources via APIs and scripting; support analytics environments and automate metrics collection; and develop data standards for governance. Qualifications: Bachelor's (5 years) or Master's (4 years) in relevant field; proficient in Splunk SPL, data pipeline development, regex parsing, database management, and system integration; experience with CI/CD, Git, and scripting languages (Python, PowerShell, Go). Preferred: Splunk and Cribl certifications, experience with cybersecurity data, ETL tools, cloud certifications (AWS, Azure), and log analysis expertise. High-Value: cybersecurity focus, SIEM platform expertise, data pipeline architecture, unstructured log parsing, and automation in a cloud or on-prem environment. Work setup: not specified; role likely remote or hybrid based on general employment practices.