> Markdown version of [/jobs/ext/3570962-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/3570962-data-engineer-iii). 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). --- # Data Engineer III - **Company:** Sam's Club - **Location:** Fayetteville, AR, United States - **Experience:** Experienced - **Salary:** $90,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Java (Programming Language), Web Accessibility, Airflow, Data Analysis, Unit Testing, Microsoft Azure, Big Data, Databases, Continuous Integration, Information Engineering, Data Transformation, Data Migration, Database Queries, Software Design Documents, Elasticsearch, Python (Programming Language), Logical Data Models, NoSQL, Power BI, User Defined Functions, Scala (Programming Language), Software Engineering, SQL Stored Procedures, PL-SQL, Data Streaming, Tableau (Software), Web Content Accessibility Guidelines, Cloud Platform System, Information Technology, Cassandra, Apache Kafka, Data Management, Api Design, Api Gateway, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://www.themuse.com/jobs/walmart/usa-data-engineer-iii-c6bff8 ## About the Role * Bachelors degree in computer science, Data Engineering, Mathematics, or a related field and 3-5 years of proven experience as a Data Engineer or similar role in data management * Or, masters degree in computer science, Data Engineering, Mathematics, or a related field and 2-3 years of proven experience as a Data Engineer or similar role in data management. * Proficient in real time ; batch pipelines in big data technologies (i.e.Spark/Kafka/Cassandra/Elasticsearch, No Sql Dbs etc.) * Proficiency in languages such as Java , Scala , Python * Experience with the workflow management platform like Airflow/hudi. * Experience with Cloud computing platforms like GCP and Azure. * Proficient with Designing and building APIs * Hands on Experience with PL/SQL to query data ; generate insights using complex queries, stored procedures, and user defined functions. * Security, API Gateway. * Familiarity with Engineering practices in Analytics space using tools like Power Bi, Tableau. * Experience with data modeling ; data migration protocols. * Excellent problem-solving and analytical skills. * Release ; Deployment , CI/CD * Code/ Design reviews * Strong project management and organizational skills. * Ability to work in a fast-paced environment and manage multiple priorities. * Lead the discovery phase of medium to large projects to come up with high-level design., 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 2 years' experience in software engineering or related field. Option 2: 4 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science. 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, Master's degree in Computer Science or related field and 2 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 * Data Transformation and Integration: Extracts data from identified databases and transform data to a structure that is relevant to the problem by selecting appropriate techniques. * Data Source Identification: Helps identify the most suitable source for data that is fit for the requirements. * Data Modeling: Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. * Build and maintain robust and scalable data pipelines with internal and external partners. * Perform deep analysis leveraging customer datasets to build customer insights. * Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring. * Participates in medium- to large-scale, complex, cross-functional projects by reviewing project requirements; translating requirements into technical solutions; gathering requested information (for example, design documents, product requirement); writing and developing code; conducting unit testing; communicating status and issues to team members and stakeholders; collaborating with cross functional teams; troubleshooting open issues and bug-fixes; enhancing design to prevent re-occurrences of defects; ensuring on-time delivery. * Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports., We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [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) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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 Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree)