(USA) Staff, Data Engineer
(USA) Together Building AR Bentonville Home Office Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Walmart. (USA) Together Building AR Bentonville Home Office · full-time · $110,000–$220,000 base.
SalaryStated by Walmart
$110,000 – $220,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SenioritySenior
Location(USA) Together Building AR Bentonville Home Office
EmploymentFull-time
Base pay$110,000–$220,000
PostedNov 6, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Turn complex business needs into scalable data designs that support organizational strategy
- Build and look after data pipelines and architectures using SQL, Google BigQuery or related technologies
- Work with other teams to locate and connect data for analysis and reporting
- Streamline data transformation, integration and storage to support business decisions
- Lead code work, testing and debugging to deliver dependable data solutions
What you bring
- Qualify through one software engineering route: a computer science bachelor's plus six years, eight years, or a master's plus four years
- Bring at least five years in data engineering, database engineering or another listed analytics field
- Have two years of supervisory experience
- Use SQL and Google BigQuery, with experience in data modeling, transformation and integration
Who this fits
This staff-level role suits someone prepared to lead technical work and supervise others. The listed primary location is Bentonville, Arkansas.
From the employer
Position Summary...
What you'll do...
Role summary:As a Staff Data Engineer at Walmart, you will design and implement scalable data solutions that align with business strategies and regulatory requirements. This role involves translating complex business needs into effective data architectures, ensuring data quality, governance, and integration across many platforms. You will lead the development of data pipelines, optimize data models, and collaborate with cross-functional teams to deliver actionable insights. Your expertise will support enterprise-wide data initiatives, driving innovation and operational excellence while maintaining compliance with ethical and security standards. This position demands a strategic mindset and advanced technical proficiency in data engineering.
About the team:
This team delivers final guidance hours to all Walmart US Hourly Associates and develops systems supporting this process. It provides detailed analysis of hours, budget constraints, labor standards, and volume forecasts. Collaborating with divisions such as Real Estate, Merchandising Operations, Central Operations, and Global Technology, the team ensures the right personnel are in the right place at the right time. Leveraging expertise in data engineering, process mapping, and advanced analytics, the team optimizes workforce planning and operational efficiency to support Walmart’s business objectives effectively.
What you'll do:
- Translate complex business requirements into scalable data engineering solutions aligned with organizational strategy.
- Design, develop, and maintain data pipelines and architectures using SQL, Google BigQuery, and other relevant technologies.
- Implement data governance practices ensuring compliance with regulatory and ethical standards.
- Collaborate with cross-functional teams to identify, source, and integrate various data sets for analysis and reporting.
- Optimize data transformation, integration, and storage processes to support business insights and decision-making.
- Lead code development, testing, and troubleshooting to ensure high-quality, reliable data solutions.
- Stay current with emerging data engineering trends and tools to enhance system performance and scalability.
What you'll bring:
- Proven expertise in data engineering, including data modeling, transformation, and integration using SQL and cloud platforms such as Google BigQuery.
- Strong understanding of business context across multiple domains to translate requirements into effective data solutions.
- Experience designing and deploying scalable data pipelines and automation for data preparation and processing.
- Knowledge of data governance principles, including data quality, privacy, and regulatory compliance.
- Proficiency in algorithm design and applying advanced analytical techniques to solve complex business problems.
- Ability to develop and maintain comprehensive data documentation and metadata management.
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 $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
ㅤ
ㅤ
ㅤ
ㅤ
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 6 years' experience in software engineering or related field. Option 2: 8 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 4 years' experience in software engineering or related field.5 years' experience in data engineering, database engineering, business intelligence, or business analytics.
2 years' supervisory experience.
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 6 years' experience in software engineering, Supervisory, 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.