(USA) Staff, Data Assurance Engineer

Walmart

Quick summary

Work type: On-site
Location: Herndon, VA
Salary: $132,000–$264,000 / yr
Posted: 11 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $198k

$116k most similar roles pay here $280k

This role pays more than 65% of similar roles. Most pay $137,700–$211,525 — the shaded band above. At the midpoint, this role pays about $198k versus about $175k 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 188 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 182 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Staff, Data Assurance Engineer

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As a Data Engineer at Walmart’s UEBA team, you will design and maintain scalable data pipelines using Python and SQL in a containerized environment to process and analyze large-scale log datasets. Your daily tasks include building ETL processes for efficient data handling, integrating with distributed computing frameworks like Kubernetes, and collaborating closely with data scientists and security analysts to ensure clean, structured data for analytics and decision-making. You will need advanced knowledge of SQL, proficiency in Python for data processing, experience with CI/CD pipelines, and familiarity with workflow orchestration tools such as Apache Airflow or Argo Workflows. This role involves protecting the data of millions of customers across Walmart’s global infrastructure while working on cutting-edge cybersecurity measures to safeguard against evolving threats.

Skills

Python SQL Kubernetes Apache Airflow GitHub CI/CD PostgreSQL NoSQL Docker Terraform AWS Azure Google Cloud Platform Prometheus Grafana

What you'll do

Design and develop scalable data pipelines using Python in a containerized environment.
Optimize ETL processes for efficient log parsing, transformation, and storage.
Integrate with distributed computing frameworks like Kubernetes for high-volume data ingestion.
Collaborate with data scientists to provide clean, structured data for analytics.
Maintain CI/CD pipelines for continuous integration and deployment of data workflows.

What we're looking for

Advanced SQL knowledge and experience with relational and NoSQL databases.
Strong Python programming skills for data processing and analytics.
Experience in designing, developing, and optimizing ETL processes.
Proficiency in working with large-scale datasets and distributed computing platforms like Kubernetes.
Familiarity with workflow orchestration tools such as Apache Airflow or Argo Workflows.
Experience with CI/CD pipelines and GitHub for code management and review.
Bachelor's degree in a relevant field plus 4 years of data assurance experience.

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