Data Security Engineer, Exposure and Vulnerability Management

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you'll be doing:

We are seeking a high-performing, collaborative, and adaptable Data Engineer with strong software development foundations and a passion for AI-driven data solutions. In this role, you will design, build, and optimize enterprise-scale data pipelines and reporting solutions that process high-volume cybersecurity and vulnerability data.

You will work closely with cross-functional teams, transforming complex stakeholder needs into efficient technical architectures while integrating security data from leading enterprise vendor tools.

Key Responsibilities may include:

• Data Pipeline & Infrastructure Development: Architecting, building, and maintaining scalable ETL/ELT pipelines using Python, SQL, (or similar tools) and enterprise orchestration tools to process large-scale cybersecurity datasets.
• API Integration: Ingesting, transforming, and normalizing data from diverse external vendor platforms (e.g., Tenable, CrowdStrike, Axonius, ServiceDesk) using different types of APIs (REST, GraphQL, Webhook, etc).
• BI & Data Visualization: Designing end-to-end data models and interactive dashboards/reports for executive and technical audiences using tools like Looker, Tableau, SSRS, or Splunk.
• Secure Development: Implementing baseline security controls and secure coding best practices across all data integration points and analytical web applications.
• Stakeholder Collaboration: Bridging the gap between technical metrics and business outcomes by converting leadership requirements into actionable data products and executive presentations.
• Agile Work Management: Prioritizing tasks independently, managing workloads efficiently, and participating actively in Agile delivery workflows.

What we're looking for:

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant work experience required  demonstrated through one or a combination of work and/or military experience, or specialized training.
• Four or more years of experience working with Python or other similar OOP languages (Java, C#, C++).
• Proven experience building ETL/ELT data pipelines (SSIS, Apache Airflow, Talend, Alteryx, or custom Python orchestration).
• Hands-on experience operating on large-scale enterprise datasets.
• Experience working with SQL or similar technology (T-SQL, MySQL, PostgreSQL). 

Even better if you have one or more of the following:

• Practical experience interacting with vendor APIs, pagination, error handling, and payload ingestion.
• Solid understanding of data modeling techniques within visualization tools (Looker, Tableau, SSRS, or Splunk).
• Proficiency in productivity suites (Google Workspace, Microsoft Office), especially data presentation tools (slides, sheets, etc)
• Basic understanding of application security practices and secure coding principles.
• A positive, kind, and team-first mindset with a strong work ethic.
• High degree of initiative; ability to work independently while seamlessly collaborating on team projects.
• Excellent time-management and prioritization skills in a fast-paced environment.
• Experience leveraging AI/LLM data tools, predictive analytics.
• Ability to dive in and perform deep data exploration, using tools such as SQL, Looker Explore, JupyterLab, etc.
• Hands-on experience with cloud analytical platforms (Google BigQuery, Snowflake, or AWS Redshift).
• Experience with vector embeddings or RAG architectures for cybersecurity analytics.
• Experience translating executive or senior stakeholder requests into technical deliverables and presenting findings to non-technical leadership.
• Experience building custom analytical web applications or front-end dashboards for enhanced user experie