> Markdown version of [/jobs/ext/3563923-data-engineer](https://www.wearedevelopers.com/jobs/ext/3563923-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). --- # Data Engineer - **Company:** Wal-Mart Stores, Inc. - **Location:** Milpitas, CA, United States - **Experience:** Expert - **Salary:** $117,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Java (Programming Language), Web Accessibility, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Unix, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Data Flow Control, Apache Hive, Python (Programming Language), Object-Oriented Software Development, Open Source Technology, Parsing, Scala (Programming Language), Software Engineering, SQL Databases, Data Streaming, Tableau (Software), Unstructured Data, Web Content Accessibility Guidelines, Usage Analysis, Scripting, Google Cloud, Delivery Pipeline, Snowflake, Apache Spark, Information Technology, Looker Analytics, Data Pipelines, Programming Languages - **Published:** October 3, 2026 - **Apply:** https://www.themuse.com/jobs/walmart/usa-senior-data-engineer-6efc44 ## About the Role <>·Our Ideal Candidate must have experience in Google Cloud, SQL, Big Query, Hive/Spark, Unix Scripting, Python, Tableau and Looker. <>·5+ years of experience of working in a high growth analytics team. <>·2+ years of experience in data visualization tools such as Tableau and Looker. <>·2+ years of programming experience with at least one language such as Python, Scala, Java or other modern OOP programming language. <>·Fluency in SQL, as well as an understanding of statistical analysis, and common pitfalls of data analysis. Basic understanding of query logic is a MUST. <>·Experience with parsing, cleansing and querying unstructured data using Hive/Spark <>·Experience with optimization and automation using scripting. <>·Strong problem-solving skills with an emphasis on product development. <>·Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale. <>·Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools such as Airflow, Glue and Dataflow. <>·Excellent written and verbal communication skills for coordinating across teams. <>·Bachelor's degree in Statistics, Computer Science, Business Administration or related field. Relevant experience in Product analytics will be a PLUS. Leadership Expectations, 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 What you'll do... Business Partnerships: Consults with senior leadership/ business partners (e.g., Sr. Directors/Directors) to understand overall goals/functional objectives, decipher key business challenges, identify tactics to anticipate and mitigate business challenges/issues and develop potential success criteria. Focuses efforts on items that have maximum impact to the business. Contributes to business area strategic planning by providing input and actionable recommendations and solutions to senior leadership based on advanced research and analytical findings. People Development: Builds and leads a team to execute on business area or category objectives. Coaches team members and provides feedback to enhance skills, knowledge and work performance. Conducts performance and career development conversations, if applicable. Maintains team motivation and engagement. Mentors less experienced associates and managers. Project Scope: Owns complex projects end-to-end for a business area, category or prototype. Manages risk associated with implementation. Proof of Concept and Prototype: Manages the development and implementation of prototypes and production-ready complex algorithms for complex projects. Manages the testing and validation process to monitor the solution. Evaluates new data analysis techniques to support prototype development. Collaborates with cross-functional partners (e.g., software engineering, category management) on prototypes and algorithms. Collaboration: Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for complex projects for a business area, category or prototype. Collaborates and partners with external business partners and vendors. Drives the execution of multiple business plans and projects by identifying customer and operational needs, developing and communicating business plans and priorities. Responsibility: * Responsible for crafting simple, dependable data pipelines and automated reporting to surface metrics. <>·Design and implement big data architecture, data pipelines, reporting, dashboarding, data exploration, processes and quality controls to enable self-service Business Intelligence. <>·Explores data to find actionable insights and makes product recommendations through funnels, long-term trends, segmentation, and more as necessary. <>·Designs, builds, and maintains ETL pipeline of analytical data warehouse. <>·Provides and supports the implementation of business solutions applying data modeling, SQL and data warehousing skills. <>·Applies fluency in SQL, as well as a deep understanding of statistical analysis, and common pitfalls of data analysis. <>·Develop automated scripts, build re-usable tools using any programming language, preferably Python. <>·Identify the bottlenecks of data flow and analysis, architect and implement solutions such as automation of data processing pipelines, optimalization of data queries, and enhancement of data visualization and interpretation. <>·Keep current on big data and data visualization technology trends, evaluate, work on proof-of-concept and make recommendations on the technologies based on their merit., Respect for the Individual: Demonstrates and encourages respect for all; builds a high-performing, diverse team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and equitable experiences where associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best, diverse team members. Respect for the Individual: Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer/member and company; and regularly recognizes others' contributions and accomplishments. Respect for the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action., Acts with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart's goal of becoming a regenerative company by making a positive impact for associates, customers, members, and the world around us. Acts with Integrity: Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values. Acts with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent. Service to the Customer/Member: Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members. Service to the Customer/Member: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team's strategy. Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks. Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. ## 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) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [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) ## 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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)