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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Security Engineer, Exposure and Vulnerability Management - **Company:** Verizon Communications Inc. - **Location:** Irving, TX, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** HTML, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, Asana, JIRA, C Sharp (Programming Language), C++ (Programming Language), Cascading Style Sheets (CSS), Cloud Computing, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Presentation, Data Security, Data Systems, Data Visualization, Information Technology Operations, Python (Programming Language), PostgreSQL, Microsoft Office, MySQL, Oop Languages, Standard Sql, Secure Coding, Software Engineering, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Systems Integration, Tableau (Software), Talend, Transact-SQL, Software Vulnerability Management, Web Applications, Web Application Frameworks, Smartsheet, Large Language Models, Snowflake, Flexera, Software Security, Gitlab, Google Bigquery, Graphql, Gsuite, Front End Software Development, Pagination, Splunk, Looker Analytics, Software Version Control, Data Pipelines, Servicenow, Alteryx, Amazon Redshift - **Published:** August 14, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88034795/1 ## About the Role * 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 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 ## Description 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., * 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., Where you'll be workingIn this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. 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