Data Security Engineer

When you join Verizon

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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.
• Maintaining scalable "security-first" data pipelines and ETL processes using Python.
• Utilizing Ansible to automate the provisioning, configuration, and hardening of data environments and analytics servers.
• 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.
• Automating the production of audit artifacts and executive summaries to validate the security and integrity of the GTS ecosystem.
• 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.
• Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
• Two 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 or more of the following:

• Experience with Python and 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).
• Knowledge of security incident log analysis, malware analysis & cyber security incident response.
• 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, you'll 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.

• Supporting daily operations, including internal/external stakeholder engagement and dotted-line leadership.
• Maintaining scalable "security-first" data pipelines and ETL processes using Python.
• Utilizing Ansible to automate the provisioning, configuration, and hardening of data environments and analytics servers.
• 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 mani
• Automating the production of audit artifacts and executive summaries to validate the security and integrity of the GTS ecosystem.
• Promoting an environment of collaboration and individual accountability when it comes to problem-solving, decision-making, and process improvements