Data Security Engineer, Exposure and Vulnerability Management

Verizon•Alpharetta, GA

1d•Hybrid

About The Position

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.

Requirements

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).

Nice To Haves

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 experience (HTML, CSS, JS, any modern frameworks, etc)
Direct experience extracting and transforming data via APIs from security platforms such as: Vulnerability & Endpoint: Tenable (API export), CrowdStrike, Armis, Axonius, Threat & Risk Intelligence: Shodan, BitSight, Flexera, and IT Operations & Service Management: ServiceDesk, ServiceNow, JIRA.
Prior experience analyzing enterprise-scale telecommunications or cybersecurity data formats.
Familiarity with vulnerability management concepts, including CVEs, zero-day vulnerabilities, and remediation workflows.
Experience using Agile management platforms (Jira, Smartsheet, Asana, etc).
Experience with version control systems (Git/GitHub/GitLab) for codebase management

Responsibilities

Architecting, building, and maintaining scalable ETL/ELT pipelines using Python, SQL, (or similar tools) and enterprise orchestration tools to process large-scale cybersecurity datasets.
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).
Designing end-to-end data models and interactive dashboards/reports for executive and technical audiences using tools like Looker, Tableau, SSRS, or Splunk.
Implementing baseline security controls and secure coding best practices across all data integration points and analytical web applications.
Bridging the gap between technical metrics and business outcomes by converting leadership requirements into actionable data products and executive presentations.
Prioritizing tasks independently, managing workloads efficiently, and participating actively in Agile delivery workflows.