(usa) Staff, Data Assurance Engineer

Walmart Walmart · Retail · HERNDON, VA TECH FACILITY VA Herndon, ISD - DGTC AR BENTONVILLE

Staff Data Assurance Engineer at Walmart focused on driving automation and AI-assisted initiatives to improve signal quality, scalability, and operational efficiency in Data Loss Prevention (DLP). The role involves building automation for solution management, high-level reporting, and predictive analytics, with a strong emphasis on cybersecurity principles, coding, and stakeholder management.

What you'd actually do

  1. drive automation and AI‑assisted initiatives to improve signal quality, scalability, and operational efficiency, aligning with modern DLP practices that emphasize noise reduction and actionable insights over raw alert volume.
  2. building automation for solution management, high-level reporting, and predictive analytics.
  3. act as a technical leader and mentor, guiding engineers, reviewing designs, and raising the overall engineering bar.
  4. Collaborating with InfoSec, Security Operations, Data Governance, Privacy, and Infrastructure teams, you’ll ensure our technical controls align with global privacy frameworks.

Skills

Required

  • Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity or related area and 4 years’ experience in data assurance at a technology, retail, or data-driven company.
  • 6 years’ experience in data assurance at a technology, retail, or data-driven company.
  • coding
  • stakeholder management
  • cybersecurity principles
  • enterprise architecture
  • cloud platforms
  • modern data usage patterns
  • risk-based security mindset

Nice to have

  • Certification in Security+, Network+, GISF, CISSP, or CCSP
  • Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity or related area and 2 year’s Exposure of leading/ working on Information Security / Cybersecurity Projects
  • Experience implementing and supporting enterprise and Cloud DLP technologies

What the JD emphasized

  • AI and ML expertise
  • enterprise-scale technical initiatives
  • automation-first solutions
  • signal-to-noise at scale

Other signals

  • AI-assisted initiatives
  • predictive analytics
  • AI and ML expertise