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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (USA) Senior, Data Engineer - **Company:** Wal-Mart Stores, Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $117,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Web Accessibility, Adaptable Database Systems, Airflow, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Warehousing, Open Source Technology, Software Engineering, SQL Databases, Web Content Accessibility Guidelines, Google Cloud, Cloud Platform System, Data Ingestion, Pyspark, Information Technology, Data Management, Data Pipelines - **Published:** October 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b80830e443399cd9 ## About the Role * Extensive experience in data engineering, including data integration, modeling, and governance. * Proficiency in SQL programming and working knowledge of PySpark and Airflow for data pipeline development. * Strong understanding of cloud platforms, particularly Google Cloud Platform (GCP), and big data environments. * Ability to design and implement scalable data models and data warehouses aligned with business needs. * Knowledge of data quality standards, data management, and regulatory compliance. * Skilled in transforming complex business requirements into effective data solutions. * Experience with ETL processes, data ingestion techniques, and data ecosystem architecture., Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related field. 2 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 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. ## Description Join Walmart as a Senior Data Engineer and leverage your expertise in data integration, modeling, and cloud technologies to design and implement scalable data solutions. You will collaborate across functions to transform complex business requirements into efficient data pipelines and models, ensuring data quality and governance standards are met. This role demands strong proficiency in SQL, PySpark, and cloud platforms such as Google Cloud, enabling data-driven decision-making and supporting strategic initiatives. Your contributions will directly impact Walmart's ability to harness data for operational excellence and innovation. About the team: The team designs, builds, and scales advanced data and analytical platforms supporting advertising systems. As a key technical leader, you will drive innovation and deliver robust, scalable solutions that enable data-driven decision-making across the organization. The team collaborates on integrating various data sources, optimizing data pipelines, and applying modern data engineering practices. Utilizing open-source technologies and cloud platforms such as Google Cloud Platform and Azure, the team focuses on enhancing operational efficiency and supporting business goals through effective data integration, modeling, and governance. What you'll do: * Design, develop, and maintain scalable data pipelines and architectures using SQL, PySpark, and Airflow within cloud environments such as Google Cloud Platform. * Integrate and transform data from various internal and external sources to support analytics and business intelligence initiatives. * Apply data modeling techniques to create logical and physical data models that optimize storage and retrieval. * Ensure data quality, governance, and compliance by implementing standards and monitoring processes. * Collaborate with cross-functional teams to translate business requirements into technical solutions that drive data-enabled decision-making. * Stay current with emerging data engineering trends and tools to enhance data infrastructure and capabilities.