Staff, Data Engineer | Bentonville, Arkansas
About The Position
Walmart is seeking a Staff Data Engineer to design and implement scalable data solutions that support business objectives across multiple domains. The role translates complex business requirements into data models, pipelines, and governance practices while ensuring data quality, security, and compliance. The engineer collaborates with stakeholders to deliver actionable insights, optimize data integration, and advance cloud-based architectures. The position is part of the APEX Data and Architecture team, which builds and maintains a Data Lakehouse for an AI-ready platform. The team delivers enriched, business-friendly datasets that enable data access and integration across domains, supporting informed decisions through data engineering practices, cloud technologies, data modeling, and a focus on quality and security. This is a full-time, onsite role in Bentonville, Arkansas. Remote and hybrid options are not available. Immigration sponsorship is unavailable; applicants must be authorized to work for any U.S. employer without current or future visa sponsorship.
Requirements
- Bachelor’s degree and at least 5 years of data engineering experience, including proficiency with PySpark, Airflow, and Google Cloud Platform services such as Dataproc.
- Strong knowledge of data modeling techniques, data lakehouse architectures, and data warehousing solutions.
- Experience ensuring data quality, security, and governance in compliance with regulatory and ethical standards.
- Ability to design, develop, and maintain scalable data pipelines integrating internal and external data sources.
- Experience designing and implementing federated graphs in GraphQL.
- Demonstrated ability to translate complex business requirements into effective data solutions.
- Minimum qualification alternatives: 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; or a Master’s degree in Computer Science and 2 years of experience in software engineering or a related field.
- At least 3 years of experience in data engineering, database engineering, business intelligence, or business analytics.
- Must be authorized to work for any employer in the United States without current or future visa sponsorship.
Nice To Haves
- Experience in data engineering, database engineering, business intelligence, or business analytics.
- Experience with ETL tools and working with 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.
- Background creating inclusive digital experiences, including knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.
Responsibilities
- Translate complex business requirements into scalable data engineering solutions aligned with organizational strategy.
- Design, develop, and maintain data pipelines and workflows using tools such as PySpark, Airflow, and Google Cloud Platform.
- Implement data modeling techniques for data warehousing and lakehouse architectures, ensuring data quality and security.
- Collaborate with stakeholders to identify data sources and perform data integration, transformation, and validation.
- Apply data governance policies and ensure compliance with regulatory and ethical standards.
- Monitor and troubleshoot data processes to optimize performance and reliability.
- Provide guidance on best practices for data architecture and documentation.
Benefits
- Performance incentive awards.
- 401(k) match.
- Stock purchase plan.
- Paid maternity and parental leave.
- Paid time off (PTO).
- Multiple health plans.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
