Senior Data Assurance Engineer

4 weeks ago

Silver Lake, Kansas, United States Walmart Full time

At Walmart, we're committed to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. Our team is dedicated to preventing fraud, detecting threats, and managing digital risk and access. We're looking for a skilled Data Assurance Engineer to join our team and help us mitigate attack risks, secure cloud transformation, and foster a culture of security and reliability.

  • Drive the Data Loss Prevention Program: Develop and implement data loss prevention controls, including data analysis, product evaluation, and detection logic creation.
  • Collaborate with Internal Teams: Work closely with internal functional and business areas to ensure alignment with security, data, and privacy frameworks, initiatives, and policies.
  • Protect our Data: Safeguard the data of millions of customers, associates, and Walmart's global infrastructure through innovative problem-solving and diligent data management.

What you'll bring:

  • Technical Advocacy: Demonstrate the ability to drive technical initiatives, update technical configurations, and advocate for change with minimal oversight.
  • Quality Assurance: Ensure accuracy, consistency, and reliability in DLP event data, along with providing necessary updates to standard operating procedures.
  • Mentorship and Guidance: Guide and mentor team members on DLP operations, documenting team processes, overseeing projects, and assisting with monthly reporting.
  • Data Incident Identification: Identify data leak incidents not triggered by an alert/policy while reviewing DLP policies and making change recommendations.
  • Collaborative Influence: Build and maintain effective internal and external partnerships, communicating technical outcomes, and facilitating shared goals with diverse groups by aligning their interests with the business.

Minimum Qualifications:

  • 3 years of experience specifically in data loss prevention technologies creating and implementing new detection logic.
  • Strong adversarial and analytical expertise. Comfortable reviewing data to identify control gaps and recommending countermeasures.
  • Experience building and testing regular expressions and data dictionaries with minimal supervision.
  • Intermediate expertise with one or more scripting languages (e.g., Python) and query languages (e.g., SQL) for implementing basic automation.
  • Adept at reviewing data flows, network diagrams, and other documentation for new applications and identifying appropriate data controls and locations.

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow.

Flexible, Hybrid Work:

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team, and be more flexible in our personal lives.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity - unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.

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