(USA) Staff, Data Engineer

About the role

Position Summary

Role summary: The (USA) Staff, Data Engineer plays a critical role in designing, developing, and maintaining scalable data architectures and pipelines to support business insights and decision-making. This position requires expertise in data modeling, integration, and governance within cloud and big data environments. The role involves translating complex business requirements into effective data solutions, ensuring data quality, and collaborating with stakeholders to drive data strategy. The ideal candidate applies advanced technical skills and industry knowledge to optimize data processes, enabling the organization to leverage data as a strategic asset while adhering to regulatory and ethical standards. About the team: The Measurement & Reporting Team within the Global Data Foundation drives omnichannel measurement for Walmart Connect. This team designs and scales enterprise attribution and reporting systems that process billions of digital and in-store customer interactions daily. They develop advanced multi-touch attribution models and build resilient distributed data pipelines using modern technologies such as Scala, Apache Kafka, and cloud-based data lakes. The team’s work directly supports critical advertising decisions and retail intelligence across Walmart’s global ecosystem, delivering trusted analytics that empower thousands of advertisers and Fortune 500 brands worldwide.

What you'll do

• Translate complex business requirements into scalable data engineering solutions aligned with organizational strategy.
• Design, develop, and maintain robust data pipelines and architectures using technologies such as Apache Kafka, Hive, and Cassandra.
• Implement data governance practices ensuring compliance with regulatory and ethical standards for data privacy, quality, and security.
• Collaborate with cross-functional teams to identify and integrate data sources for optimized analytics and reporting.
• Develop and test code for data transformation, integration, and storage in cloud and big data environments.
• Provide guidance on data modeling, metadata management, and documentation to support enterprise data initiatives.

• Proficiency in Scala and experience with data engineering and architecture principles.
• Expertise in building and managing data pipelines, data lakes, and ETL processes using tools like Apache Kafka, Hive, and Cassandra.
• Strong knowledge of query languages including SQL and NoSQL for data modeling and integration.
• Experience with cloud platforms such as Google Cloud Dataproc and big data environments.
• Understanding of data governance, quality frameworks, and regulatory requirements related to data privacy and security.
• Ability to translate complex business requirements into scalable data solutions aligned with enterprise strategy.
• Familiarity with data strategy development and implementation to drive business insights and value.

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

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.

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