(USA) Senior Manager, Data Engineering
(USA) Change Building AR Bentonville Home Office Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Walmart. (USA) Change 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) Change Building AR Bentonville Home Office
EmploymentFull-time
Base pay$110,000–$220,000
PostedOct 19, 2026 · 5d ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Shape and launch data engineering solutions that scale across platforms, turning business problems into technical plans
- Keep data pipelines dependable by overseeing integration, transformation and quality checks
- Set data governance practices that follow regulatory and ethical standards
- Align data architecture with business needs while coaching team members on modeling, coding and testing
- Assess new technologies for stronger big data analytics and more automated processes
What you bring
- Meet one software engineering path: a computer science degree with the stated experience, or seven years in software engineering or a related field
- Have at least four years in data engineering, database engineering, business intelligence or business analytics
- Bring at least one year of supervisory experience
- Use SQL and other programming languages for pipeline development, with knowledge of data governance, quality and privacy requirements
Who this fits
This senior role suits someone ready to lead data engineering work and supervise and mentor team members. The listed primary location is Bentonville, Arkansas.
From the employer
Position Summary...
What you'll do...
Role summary:The Senior Manager, Data Engineering leads the design and implementation of scalable data solutions that support business objectives. This role requires expertise in data integration, transformation, and governance within cloud and big data environments. The position involves collaborating with cross-functional teams to translate complex business challenges into effective data strategies and architectures. The successful candidate will oversee data quality, modeling, and automation efforts while ensuring compliance with regulatory standards. This leadership role fosters innovation and continuous improvement to optimize data assets and drive informed decision-making across the organization.
About the team:
The Supply Chain Centralized Services - Data Enablement team develops advanced data solutions supporting Flow, Quality, and Maintenance Reliability operations and transformation. The team leverages expertise in data engineering, big data analytics, SQL programming, data transformation, and integration to build scalable, efficient data pipelines and models. Collaborating across functions, the team ensures data governance, quality, and strategic alignment with business goals. Members apply innovative techniques to automate data processes, enabling actionable insights that drive operational excellence and continuous improvement within the supply chain.
What you'll do:
- Lead the design, development, and deployment of scalable data engineering solutions across multiple platforms.
- Translate complex business problems into data-driven strategies and technical implementations.
- Oversee data integration, transformation, and quality assurance processes to ensure reliable data pipelines.
- Implement and maintain data governance practices aligned with regulatory and ethical standards.
- Collaborate with cross-functional teams to align data architecture with business objectives.
- Mentor and guide team members on best practices in data modeling, coding, and testing.
- Evaluate emerging technologies to enhance big data analytics capabilities and automation.
What you'll bring:
- Extensive experience in data engineering, including data transformation, integration, and big data analytics.
- Proficiency in SQL and other programming languages relevant to data pipeline development and automation.
- Strong knowledge of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
- Expertise in data modeling, warehousing, and cloud-based big data platforms such as Snowflake, Azure, or Google BigQuery.
- Ability to design and implement scalable data architectures and pipelines using modern tools and orchestration frameworks.
- Proven capability to translate complex business requirements into effective data solutions and strategies.
- Experience leading and mentoring, fostering continuous improvement and innovation in data engineering practices.
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
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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 5 years' experience in software engineering or related field. Option 2: 7 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 3 years' experience in software engineering or related field.4 years' experience in data engineering, database engineering, business intelligence, or business analytics.
1 year’s 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 5 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.