Data Security Engineer: Exposure & Vulnerability Management

Verizon; Alpharetta (GA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) matching

Paid vacation

Tuition assistance

Paid parental leave

Job summary

Verizon seeks a Data Engineer to design and optimize enterprise-scale data pipelines and reporting solutions for cybersecurity data. You will collaborate with cross-functional teams to translate complex needs into scalable architectures, integrating security data from vendor tools.

The role emphasizes Python development, ETL/ELT pipelines, and BI tooling across cloud platforms, with a strong focus on secure, efficient data integration and executive-focused analytics.

Qualifications

• Bachelor's degree or four+ years of work experience required.
• Four+ years of experience with Python or 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 with large-scale enterprise datasets.

Responsibilities

• Architect, build, and maintain scalable ETL/ELT pipelines for cybersecurity data.
• Ingest, transform, and normalize data from diverse vendor platforms via various APIs.
• Design end-to-end data models and dashboards using Looker, Tableau, SSRS, or Splunk.
• Implement baseline security controls and secure coding practices across data integrations.
• Bridge technical metrics to business outcomes with executive-presentations.

Skills

Python

ETL/ELT pipelines

SQL

APIs integration

Looker/Tableau/SSRS/Splunk

Secure development

Agile

Cloud platforms (BigQuery/Snowflake/EM

Version control (Git)

Education

Bachelor's degree or equivalent

Tools

SSIS

Apache Airflow

Talend

Alteryx

Python orchestration

Job description

Verizon seeks a Data Engineer to design and optimize enterprise-scale data pipelines and reporting solutions for cybersecurity data. You will collaborate with cross-functional teams to translate complex needs into scalable architectures, integrating security data from vendor tools.

The role emphasizes Python development, ETL/ELT pipelines, and BI tooling across cloud platforms, with a strong focus on secure, efficient data integration and executive-focused analytics.