> Markdown version of [/jobs/ext/4165100-staff-data-engineer](https://www.wearedevelopers.com/jobs/ext/4165100-staff-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. 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, Web Accessibility, Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Data Validation, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Fault Tolerance, Apache Hadoop, Apache Hive, Software Engineering, SQL Databases, Web Content Accessibility Guidelines, Apache Spark, Information Technology, Data Pipelines - **Published:** October 11, 2026 - **Apply:** https://www.themuse.com/jobs/walmart/staff-data-engineer-83264f ## About the Role * Bachelors/masters degree in computer science or a related field * With 8+ years experience in development of big data technologies/data pipelines * Proficiency in managing and manipulating huge datasets in the order of terabytes (TB) is essential. * Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance. * Expertise in building idempotent workflows using orchestrators like Airflow. * Expertise in writing SQL to analyze, optimize, profile data preferably in Big Query or SPARK SQL * Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets. * Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work. * Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process. * Ability to move at a rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative. * Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project., 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 Come join our People Data Engineering Team @Walmart where you'll have the opportunity to manage people data at Walmart scale and make sure the consistent data is being utilized across transactional and analytical systems., * Design, Build and Enhance high performance reusable framework for data pipeline * Develop and deploy cutting edge solutions at scale, impacting millions of customers worldwide to drive value from data at Walmart Scale * Support People Data applications ensuring Data Quality and Governance standards. * Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the technical community. * Provide guidance and mentorship to junior data engineers. * Ensure data ingested and processed is accurate and of high quality by implementing data quality checks, data validation, and data cleaning processes