This role pays more than
67%
of similar roles. Most pay
$126,062–$170,000
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$148k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
184 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 180 roles with salary data.
As a Data Engineer III on the User and Entity Behavior Analytics team, you will design and build scalable data pipelines to transform disparate sources into actionable detections. You will develop data flows, risk scoring models, and behavioral detections to strengthen data loss prevention, insider threat, and threat actor detection capabilities. Collaborating with data scientists, detection engineers, and analysts, you will deliver trusted, governed data assets that enable automation and AI-driven analytics. The role requires proficiency in SQL and relational databases, experience developing efficient data models, documenting data lineage, and optimizing large-scale datasets. You must also be familiar with ETL frameworks, workflow orchestration, and cloud or big data platforms. This position focuses on the cybersecurity domain, specifically utilizing advanced analytics and machine learning to proactively identify risks and protect the global technology environment from emerging threats.
Design and build scalable data pipelines to transform disparate sources into actionable security detections.
Develop risk scoring models and behavioral detections for insider threats and data loss prevention.
Engineer production-grade data assets to enable automated, AI-driven analytics and high-fidelity alerting.
Ingest, enrich, and transform data from various security and enterprise sources.
Create efficient data models and document data lineage for large-scale datasets.
Optimize complex data flows to improve response times to emerging cyber threats.
Solve technical problems and identify root causes within the information security infrastructure.
What we're looking for
Candidates must have a Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or a related field.
Candidates must have 2 years of experience in data assurance at a technology, retail, or data-driven company if they hold a relevant degree.
Candidates must have 4 years of experience in data assurance at a technology, retail, or data-driven company if they do not have the specified degree.
Candidates should possess strong proficiency in SQL and relational databases to develop efficient data models and optimize large-scale datasets.
Candidates should have experience with ETL frameworks, workflow orchestration, and cloud or big data platforms.
Candidates must be able to design and build scalable data pipelines for analytics, automation, or machine learning.
Preferred qualifications include certifications such as Security+, Network+, GISF, CISSP, or CCSP.
A Master's degree in a relevant technical field is preferred.