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Verizon Global Infrastructure (VGI) is looking for an innovative Security Data Automation Engineer to bridge the gap between traditional data analytics and modern DevOps practices. Beyond building dashboards, you will architect resilient "security-by-design" pipelines that drive our threat detection and response. You will develop high-performance, sophisticated Python models to harden the GTS ecosystem, ensuring the entire data life cycle—from ingestion to deployment—is fully protected and automated.
What We’re Looking For...
Supporting daily operations, including internal/external stakeholder engagement and dotted-line leadership.
Designing and maintaining robust, scalable data pipelines and ETL processes using Python, ensuring security is baked into the data architecture from inception.
Utilizing Ansible to automate the provisioning, configuration, and hardening of data environments and analytics servers to maintain a consistent security posture.
Identifying and eliminating manual bottlenecks in the data lifecycle through custom scripting and CI/CD integration, automating the deployment of both security models and analytics code.
Performing complex data analysis to identify trends and patterns, building predictive models that serve a dual mission: providing actionable business insights and high-fidelity threat intelligence.
Developing sophisticated Python-based models to detect anomalies and hidden patterns within massive datasets, translating raw data into defensive signals.
Designing and executing intelligence-driven testing and adversary emulation exercises to validate security controls, including adversarial stress-testing of AI models to ensure resilience against manipulation and evasion.
Translating sophisticated threat actor Tactics, Techniques, and Procedures (TTPs) into analytical requirements and security models to close detection gaps.
Recommending ways to mature and advance the preventive and defensive capabilities for the GTS environment. This includes leveraging internal data, threat trends, and operational metrics to clearly communicate the use case for alert creation.
Promoting an environment of collaboration and individual accountability when it comes to problem-solving, decision-making, and process improvements
You’ll Need To Have
Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Four or more years experience with scripting and programming (i.e. Python or Powershell) for automation of bulk configuration changes, data parsing, API interactions, and custom tool development.
Even better if you have one or more of the following:
Expert-level proficiency in Python. You should be comfortable with libraries like pandas, numpy, and scikit-learn, but also with writing clean, modular, and testable production-grade code.
Deep experience with Ansible for automating repetitive tasks, managing server configurations, and deploying applications.
Strong command of SQL and experience working with cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift).
Comfort working in a Linux environment, including shell scripting (Bash).
Advanced knowledge of Git workflows and collaborative development.
Experience with workflow orchestration tools like Airflow, Dagster, or Prefect is a significant plus.
Experience providing support for security related technologies (i.e. SIEM, Antivirus, Firewalls, WAF, Proxy, IDS/IPS, DLP).
Certifications like: Network+, Security+, GSEC, CISSP or CISM
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
Where you’ll be working
In this hybrid role, youll have a defined work location that includes work from home and assigned office days set by your manager.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
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