Über
Multiple locations Dallas, TX: $90,000 - $180,000/yr Denver, CO: $99,000 - $198,000/yr Regular/ Permanent Salaried Role Summary
As a Senior Data Engineer at Walmart, you will build and optimize scalable data pipelines and models that power critical business insights. You'll leverage cloud technologies, automation, and modern data engineering practices to transform complex datasets into reliable, high-quality assets. Partnering closely with cross-functional teams, you'll translate business needs into robust technical solutions that improve data accessibility, performance, and governance. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to drive innovation within a fast-moving enterprise environment. About the Team
We're a small but high-impact Data Engineering team building the data foundations that power measurement and feature innovation for our advertising products. Operating at the intersection of engineering, analytics, and product strategy, we deliver scalable pipelines and accurate performance insights that drive data-informed decisions. Our agility and end-to-end ownership set us apartwe move quickly, collaborate closely across functions, and build systems that directly influence how advertisers measure success and how new ad features evolve. If you want to build reliable, scalable data systems with visible impact, this is the team for you. What You'll Do
Design and build scalable data pipelines and models using Databricks, PySpark, and SQL. Integrate and transform data from multiple sources with strong quality, observability, and governance. Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions. Develop and maintain infrastructure using Terraform and support DevOps tasks such as deployments, monitoring, and environment management. Optimize pipelines for reliability, performance, and cost across cloud environments. Collaborate with Product, Data Science, and Engineering teams to deliver reliable, scalable, and efficient data solutions. What You'll Bring
Extensive experience in data engineering, including scalable pipeline development, data integration, and modeling. Strong proficiency in SQL, Python, PySpark, Databricks, and workflow orchestration with Airflow. Solid understanding of cloud platforms, especially Google Cloud Platform. Hands-on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform. Strong grounding in data governance, data quality, and compliance best practices. Ability to design resilient data architectures across warehouses, lakes, and streaming systems. Proven skill in translating complex business needs into effective data solutions. Familiarity with machine learning concepts and how they integrate with data engineering workflows. A passion for finding ways to integrate AI and LLMs into daily engineering activities and products, while not compromising simplicity and code maintainability. Minimum Qualifications
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
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. Primary Location
14901 Quorum Dr, Dallas, TX 75254-7521, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
Sprachkenntnisse
- English
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