As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise in data modeling, transformation, and integration across various data sources, ensuring data quality and governance compliance. You will collaborate with crossfunctional teams to implement data strategies aligned with enterprise goals, leveraging advanced technologies such as Apache Spark and cloud platforms. Your contributions will enable efficient data accessibility and insight generation, driving continuous improvement and innovation within Walmart’s data ecosystem.
About the team:
Global Data Foundations (GDF) manages Walmart’s Enterprise Data Lake, delivering trusted data that supports insights, analytics, and informed decisions across the company. The team plays a vital role in enabling AI by providing well-governed and cataloged data assets. This role focuses on Real Estate, Energy, and Manufacturing data, essential for decisions on store construction, remodels, energy investments, and EV charging expansion. Partners depend on GDF for reliable, consistent, and comprehensive data to make timely, confident decisions that drive business success.
What you'll do:
- Design, develop, and maintain scalable data pipelines and ETL processes to support business analytics and reporting needs.
- Collaborate with cross-functional teams to identify data sources, ensuring data quality, integrity, and compliance with governance standards.
- Build and optimize data models, data lakes, and warehouses using SQL, Apache Spark, and cloud-based platforms.
- Implement data ingestion and integration solutions leveraging big data technologies such as Apache Kafka and distributed storage systems.
- Analyze complex data flows and propose improvements to enhance system performance and data accessibility.
- Support deployment, testing, and documentation of data engineering solutions aligned with enterprise data strategy.
What you'll bring:
- Extensive experience in data engineering, including data transformation, modeling, and pipeline development.
- Proficiency in SQL and programming languages such as Python, Java, or similar for code development and testing.
- Strong knowledge of ETL processes, data ingestion techniques, and big data technologies like Apache Spark and Kafka.
- Understanding of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
- Ability to design and implement scalable data architectures, including data lakes and warehouses.
- Familiarity with cloud-based data platforms and modern data integration methods.
- Demonstrated capability to analyze complex data flows and develop efficient data models.
Note: Immigration sponsorship is not available for this position.
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 expert's 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 are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
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 unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor’s degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years’ experience insoftware engineering or related field. Option 3: Master's degree in Computer Science.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...2608 Se J St, Bentonville, AR 72716-3724, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field
- 4 years' experience in software engineering or related field
- Master's degree in Computer Science
- Extensive experience in data engineering including data transformation, modeling, and pipeline development
- Proficiency in SQL
- Proficiency in Python
- Proficiency in Java or similar programming language
- Strong knowledge of ETL processes, data ingestion techniques, and big data technologies such as Apache Spark and Apache Kafka
- Understanding of data governance, data quality frameworks, and regulatory requirements related to data privacy and security
- Ability to design and implement scalable data architectures including data lakes and data warehouses
- Familiarity with cloud-based data platforms
- Experience analyzing complex data flows and optimizing system performance
- Background in data engineering, database engineering, business intelligence, or business analytics
- Master's degree in Computer Science or related field plus 2 years' experience (preferred)
- Knowledge of WCAG 2.2 AA accessibility standards, assistive technologies, and accessibility best practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
