Join Walmart as a Staff Data Engineer and leverage your expertise in data architecture, pipeline development, and data governance to deliver scalable, high-quality data solutions. This role involves translating complex business requirements into effective data strategies, ensuring data integrity, and enabling actionable insights across multiple domains. You will design and implement robust data models and infrastructure while collaborating with cross-functional teams to support enterprise-wide data initiatives. Your contributions will drive innovation and operational excellence by optimizing data processes and supporting regulatory compliance within a dynamic, technology-driven environment.
About the team:
The Data Lake Platform team at VIZIO/Walmart delivers dependable datasets that support enterprise analytics and strategic decision-making. Operating at the intersection of data and AI, the team innovates to address complex challenges by designing and maintaining scalable data architectures, pipelines, and governance frameworks. Team members ensure data quality and accessibility while applying advanced data engineering and machine learning techniques. With a methodical approach to problem-solving and continuous improvement, the team empowers the organization by providing actionable insights and strategic data solutions that drive business value.
What you'll do:
- Develop and maintain scalable data pipelines and architectures to support business analytics and reporting needs.
- Collaborate with stakeholders to translate business requirements into effective data solutions aligned with strategic goals.
- Implement data governance practices ensuring compliance with regulatory and ethical standards.
- Design and optimize data models for various platforms including data lakes and distributed data stores.
- Automate data integration and transformation processes using modern tools and orchestration frameworks.
- Monitor data quality and provide guidance to ensure accuracy and reliability of data assets.
- Support continuous improvement by evaluating emerging data technologies and methodologies.
What you'll bring:
- Proven expertise in data engineering, including building and maintaining scalable data pipelines and infrastructure.
- Strong knowledge of data modeling, data lakes, distributed data stores, and data architecture principles.
- Experience with PySpark, Databricks, Apache Airflow, and CI/CD pipelines for automated data workflows.
- Understanding of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
- Ability to translate complex business requirements into technical solutions aligned with data strategy.
- Proficiency in cloud and big data environments, with a focus on optimizing data integration and transformation processes.
- Demonstrated problem-solving skills and commitment to continuous improvement and innovation.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $121,000.00 - $242,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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 4 years' experience in software engineering or related field. Option 2: 6 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.3 years' experience in data engineering, database engineering, business intelligence, or business analytics.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, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 4 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...55 Madison St, Denver, CO 80206-5419, 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 4 years of experience in software engineering or a related field
- 6 years of experience in software engineering or a related field
- Master's degree in Computer Science and 2 years of experience in software engineering or a related field
- 3 years of experience in data engineering, database engineering, business intelligence, or business analytics
- Experience with data engineering, database engineering, business intelligence, or business analytics
- Experience with ETL tools and large datasets in the cloud
- Master's degree in Computer Science or a related field and 4 years of experience in software engineering or a related field
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility 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.









