Position Summary...What you'll do...**Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Bentonville, Arkansas; remote and hybrid options are not available.**
Role summary:Walmart is seeking a
Staff Data Engineer to design and implement scalable data solutions that support business objectives across multiple domains. This role involves translating complex business requirements into effective data models, pipelines, and governance practices while ensuring data quality, security, and compliance. The
successful candidate will collaborate with stakeholders to deliver actionable insights, optimize data integration, and advance cloud-based architectures. Expertise in modern data engineering tools and methodologies is essential to drive innovation and operational excellence within a dynamic, data-driven environment.
About the team: The
APEX Data and Architecture team builds and maintains the Data Lakehouse that supports an AI-ready platform for seamless data access and action. This team delivers enriched, business-friendly data sets that empower users to integrate data across multiple domains, enabling informed, data-driven decisions. Leveraging advanced data engineering practices and cloud technologies, the team ensures high data quality, security, and effective data modeling. Collaborating closely with stakeholders, the team drives innovative solutions that enhance data usability and support strategic business objectives within a robust and scalable data environment.
What you'll do: - 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 to support data warehousing, lakehouse architectures, and ensure data quality and security.
- Collaborate with stakeholders to identify relevant 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.
What you'll bring: - Bachelors with minimum 5+ years of experience in data engineering, 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 graph in GraphQL
- Demonstrated capability to translate complex business requirements into effective data solutions.
Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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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...805 Se Moberly Ln., Bentonville, AR 72712, United States of America
