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 APEX Data and Architecture team builds and maintains a Data Lakehouse supporting an AI-ready platform. It delivers enriched, business-friendly data sets that help users integrate data across domains and make informed decisions. The team applies advanced data engineering practices and cloud technologies to maintain data quality, security, and effective modeling. This is a full-time, onsite position in Bentonville, Arkansas. Remote and hybrid options are not available. Immigration sponsorship is not available; 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.
- Meet one of the listed minimum qualification pathways: a bachelor’s degree in Computer Science and 4 years of software engineering or related experience; 6 years of software engineering or related experience; or a master’s degree in Computer Science and 2 years of software engineering or related experience.
- 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 data sets in the cloud.
- A master’s degree in Computer Science or a related field and 4 years of software engineering or related experience.
- Knowledge of creating inclusive digital experiences, implementing 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 data architecture best practices and documentation.
Benefits
- Incentive awards based on performance.
- 401(k) match.
- Stock purchase plan.
- Paid maternity and parental leave.
- PTO.
- Multiple health plans.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
