(USA) Staff, Data Engineer

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $110,000–$220,000 / yr
Posted: 6 days ago
Nearby: 98 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $165k

$97k most similar roles pay here $233k

This role pays less than 55% of similar roles. Most pay $136,050–$203,300 — the shaded band above. At the midpoint, this role pays about $165k versus about $170k 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 189 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 181 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Staff, Data Engineer

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As a Staff Data Engineer at Walmart U.S., you will join the Store Fulfillment Capacity and Space team to drive data-driven decision-making across the enterprise. Your responsibilities include translating complex business requirements into scalable data engineering solutions, designing robust data pipelines, and implementing data governance practices to ensure regulatory compliance. You will collaborate with cross-functional teams to build and optimize data models for efficient storage and analysis, while also developing and deploying code using languages like Python or Java. This role demands expertise in cloud platforms, big data technologies, and a commitment to staying current with emerging trends to enhance operational efficiency and support Walmart’s omnichannel strategy.

Skills

Python Java SQL NoSQL AWS Azure GCP Kubernetes Docker CI/CD Terraform Git Data Warehousing Big Data Platforms Data Governance Data Quality Frameworks Machine Learning Predictive Models Advanced Analytics

What you'll do

Translate complex business requirements into scalable data engineering solutions.
Design and maintain robust data pipelines integrating internal and external sources.
Implement data governance practices to ensure compliance with regulatory standards.
Build and optimize data models for efficient storage, retrieval, and analysis.
Collaborate with teams to deliver actionable insights from data integration efforts.

What we're looking for

Proven expertise in designing and implementing scalable data pipelines and architectures.
Strong proficiency in SQL, NoSQL, Python, Java for complex data modeling and integration.
Experience with cloud platforms and big data technologies for data warehousing solutions.
Ability to translate business requirements into technical data engineering solutions.
Knowledge of data governance, quality frameworks, and regulatory compliance practices.
Demonstrated capability in leading data transformation and automation initiatives effectively.

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