Junior Data Security Engineer

United States

Full-time

Remote

Entry Level

Verizon is hiring a Junior Data Security Engineer for its Data Services team. The role contributes to enterprise security data infrastructure, pipelines, cloud services, and security remediations, while using AI tools to support development and documentation.

Apply Now

Responsibilities

Contributing to the team's MCP server — building, maintaining, and extending MCP tools that expose vulnerability data and security datasets to AI agents and internal consumers
Implementing feature work and bug fixes across data pipeline services under the direction of senior engineers — ingestion improvements, schema changes, and reliability work
Building and maintaining data transfer pipelines to Google Cloud Storage — moving structured security data reliably between enterprise systems and GCS buckets
Supporting data sharing integrations for analytics consumers — contributing to the services and exports that make security datasets available to downstream reporting and analytics platforms
Participating in breaking-change analysis when shared data schemas or MCP tool contracts evolve: understand downstream impact and surface concerns to senior engineers
Contributing to internal tooling and operator-facing surfaces where data platform capabilities are exposed — learning to think about what the consuming side needs, not just what the service provides
Contributing to GCP-hosted services and infrastructure work — deploying and maintaining workloads in Google Cloud Platform as the team expands its cloud footprint
Implementing security remediations identified through assessment, including application-layer vulnerability fixes and security configuration hardening, with senior engineer review
Applying cloud-native secrets management patterns under guidance: Key Vault integration, Managed Identity, encrypted connections, and JWT validation
Writing secure code by default — parameterized queries, input validation at system boundaries, least-privilege service accounts
Participating in white-box security reviews of internal services — beginning to read code with an attacker's eye and learning to identify common application-layer vulnerabilities
Contributing to documenting findings with specificity: file paths, line numbers, and reproduction steps under the direction of senior team members
Translating security findings into working code fixes with senior engineer guidance on scope and remediation approach
Using AI coding assistants as a daily accelerator — for navigating unfamiliar services, drafting code, and applying patterns across a codebase with senior review
Generating and maintaining technical documentation with AI assistance — service overviews, data flow descriptions, and runbooks that help the next engineer
Learning to validate generated code against the actual codebase, catch hallucinated APIs, and recognize when a suggestion needs to be overridden rather than shipped

Qualification

Required

Bachelor's degree or one or more years of relevant work experience
One or more years of software engineering experience
Working Python or .NET (C#) development skills — comfortable building and maintaining backend services, REST APIs, and data processing logic
Familiarity with data pipeline concepts — understanding how data moves between systems, basic ETL patterns, and what can go wrong at each stage
Understanding of common injection vulnerabilities and the importance of input validation and secure credential handling — especially relevant when working with vulnerability datasets
Exposure to cloud storage or data transfer patterns — GCS, S3, or similar object storage in a project or professional context
Comfort reading unfamiliar code — you can follow data flow and find where the important logic lives even in codebases you didn't write
Active or recent use of AI coding tools (Claude Code or similar) — not just awareness, but a genuine attempt to build them into how you work

Preferred

Security+ or equivalent foundational security knowledge, or active pursuit of it
Awareness of OWASP Top 10 or OWASP API Security Top 10
Any exposure to SAST tooling or secrets scanning in a CI/CD pipeline
Hands-on experience with GCS — reading, writing, and managing objects; understanding bucket structure and IAM access patterns
Familiarity with analytics data sharing patterns — exports to BigQuery, Looker, Google Sheets, or similar platforms
Basic familiarity with JWT / OAuth 2.0 — understanding how tokens are issued and validated for service-to-service data access
Any exposure to MCP (Model Context Protocol) — understanding what MCP servers do and how tools are defined and consumed by AI agents
Hands-on experience with Google Cloud Platform (GCP) — Cloud Run, GCS, Pub/Sub, IAM, or related services
Any experience with Azure DevOps, GitLab, or similar CI/CD tooling
Familiarity with database patterns — query design, connection management, or migration tooling (EF Core or similar)
Some exposure to TypeScript or a JavaScript frontend framework (React, Angular, or similar)
Demonstrated genuine use of AI coding tools — can speak to what you've tried, where it helped, and where you learned it needed checking
Ability to write clear technical documentation that helps another engineer understand what you built and why

Benefits

Remote work from home with occasional in-person trainings and meetings
Medical insurance
Dental insurance
Vision insurance
Short-term disability insurance
Long-term disability insurance
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay such as overtime, shift differential, holiday pay, and allowances, depending on the role
Newly hired employees receive up to 15 days of vacation per year, which grows with additional service
For part-timers, eligibility for some benefits may vary depending on individual circumstances