(USA) Senior, Data Engineer

About the role

Position Summary

Role summary: Join Walmart as a Senior Data Engineer and leverage your expertise in data integration, modeling, and pipeline development to support scalable data solutions. This role requires translating complex business requirements into effective data solutions while ensuring data quality, governance, and compliance with regulatory standards. The position involves collaborating across multiple domains to optimize data integration, storage, and transformation using modern cloud and big data technologies. The successful candidate will drive innovation in data architecture and automation, enabling actionable insights that align with organizational strategies and operational goals. About the team: The Global Data Foundation (GDF) team is dedicated to managing and delivering high-quality data assets by establishing standards and ensuring policy compliance. The team develops scalable, cloud-native data pipelines and self-service tools that enhance data utilization to support business growth and innovation. Applying advanced data architecture and engineering principles, the team addresses complex challenges through collaboration and continuous improvement. Their efforts provide reliable, strategic data solutions that empower stakeholders across the organization and drive long-term business objectives.

What you'll do

• Design, develop, and maintain scalable data pipelines and infrastructure to support business analytics and reporting needs.
• Integrate and transform data from  internal and external sources using ETL and streaming techniques.
• Develop and optimize data models, ensuring data quality, governance, and compliance with organizational standards.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Implement and monitor data ingestion processes leveraging cloud platforms and big data technologies.
• Write, test, and deploy efficient code using SQL, Python, and Apache Spark.
• Support continuous improvement by identifying opportunities to enhance data systems and workflows.

• Extensive experience in data engineering, including data integration, modeling, and pipeline development.
• Proficiency in SQL, Python, Apache Spark, and Apache Airflow for building scalable data solutions.
• Strong knowledge of data governance, data quality standards, and data management practices.
• Expertise in cloud platforms such as Google Cloud Dataproc, BigQuery, and Databricks environments.
• Ability to design and optimize data warehouses, data lakes, and enterprise data platforms.
• Skilled in transforming business requirements into effective data architectures and solutions.
• Experience with DevOps practices to support data infrastructure deployment and maintenance.

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 3 years' experience in software engineering, 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