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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff, Data Engineer - **Company:** Wal-Mart Stores, Inc. - **Location:** Bentonville, AR, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Java (Programming Language), Web Accessibility, Artificial Intelligence, Airflow, Data Analysis, Application Integration Architecture, Big Data, BigQuery, Code Review, Computer Programming, Continuous Delivery, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Digital Assets, Distributed Computing Environment, Distributed Systems, Apache Hive, Iterative and Incremental Development, Python (Programming Language), Machine Learning, Scala (Programming Language), Software Engineering, Data Streaming, Unstructured Data, Web Content Accessibility Guidelines, Google Cloud, System Availability, Apache Spark, Infrastructure Automation Frameworks, Information Technology, Apache Flink, Data Management, Presto, Data Pipelines - **Published:** August 23, 2026 - **Apply:** https://www.jofdav.com/jobs/59367326-staff-data-engineer ## About the Role * Extensive experience in data engineering, including data integration, transformation, and pipeline development using ETL and streaming techniques. * Understanding of data governance, quality standards, and regulatory requirements to ensure compliance and data integrity. * 4+ years of experience in Data Engineering, Platform Engineering, Software Engineering, or related disciplines. * Strong programming skills in Python, Java, Scala, or similar languages. * Hands-on experience or strong familiarity with data platforms and technologies such as Airflow, GCP, BigQuery, Hive, and Presto. * Experience building and maintaining large-scale data pipelines. * Experience with distributed data processing frameworks such as Spark, Flink, or Beam. * Strong understanding of data modeling, storage systems, and distributed architectures. * Experience implementing CI/CD pipelines and infrastructure automation., 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. ## Description What you'll do... Role summary: At Walmart, data is at the heart of how we serve hundreds of millions of customers every week. As a Staff Data Engineer, you'll be a technical leader shaping the data platforms and pipelines that power [Customer Growth, membership, and analytics] across the enterprise. You'll operate at petabyte scale, set the technical direction for a portfolio of data products, and multiply the impact of engineers and data scientists across multiple teams - driving architecture, quality, and long-term platform health rather than individual features. About the team: The Membership Experience Engineering team at Walmart develops scalable, reliable technology to enhance shopping journeys for millions globally. The team emphasizes technical excellence, integrity, and customer-focused solutions while fostering professional growth and knowledge sharing. Collaborating across functions, members drive innovation through iterative development, code review, and continuous improvement. Leveraging advanced tools and AI integration, the team delivers high-quality software aligned with Walmart's standards, empowering associates and improving the overall shopping experience worldwide. What you'll do: Data Platform Engineering * Own architecture for large-scale streaming data. * Design, build, and maintain scalable data pipelines supporting batch and real-time workloads. * Develop robust ingestion, transformation, and orchestration frameworks for structured and unstructured data. * Ensure data quality, reliability, observability, and governance. * Build self-service platform capabilities that improve developer productivity. * Improve platform reliability through observability, alerting, and automated remediation. Analytics & AI Enablement * Support data scientists, analysts, and product teams by providing scalable infrastructure and trusted data assets. * Partner with AI and product teams to operationalize machine learning and generative AI solutions. Engineering Excellence * Optimize platform performance, scalability, and cost efficiency. * Mentor engineers and promote engineering standards across teams. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Write a CV and Interview if You Don't Fully Qualify For The Job](https://www.wearedevelopers.com/magazine/183-how-to-write-a-cv-and-interview-if-you-don-t-fully-qualify-for-the-job) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)