Senior, Data Engineer

Overview International Data Management (IDM) team powers enterprise‑scale data platforms across multiple global markets including Canada, Mexico, Chile, and beyond. We act as the single source of truth for enterprise data, enabling critical business functions across domains such as Customer, Supply Chain, Finance, and Digital Platforms. Responsibilities Build and scale data pipelines : Design and develop highly scalable data pipelines using Spark (Scala/PySpark), Airflow, and BigQuery. Ensure performance, reliability, and cost efficiency of pipelines across global workloads. Drive platform modernization : Develop utilities and frameworks to migrate legacy pipelines to modern architectures using automation and AI. Contribute to next‑gen platform evolution (DPaaS, SSaaS, etc.). Architect for cost and scale : Build and optimize data pipelines with a strong focus on cloud cost efficiency. Lead initiatives to reduce cloud spend through smart design and optimization strategies. Develop AI‑driven engineering solutions : Build internal tools, utilities, and AI agents to accelerate development and operations. Contribute to platform‑level AI capabilities and automation frameworks. Own platform and system reliability : Manage and enhance large‑scale data platform architecture supporting enterprise‑wide use cases. Monitor and continuously improve performance, scalability, and resilience. Collaborate globally : Partner with data engineers, product teams, architects, and business stakeholders across international markets. Translate business requirements into scalable technical solutions. Drive innovation : Conduct POCs on emerging technologies and evaluate new tools/frameworks. Bring forward innovative ideas to improve engineering efficiency and platform capabilities. Minimum Qualifications Bachelor’s degree in Computer Science or related field and 3 years of experience in software engineering, or equivalent. At least 2 years of experience in data engineering, database engineering, business intelligence, or business analytics. Proven experience building and operating large‑scale data pipelines. Hands‑on experience with Spark (Scala/PySpark), Airflow, BigQuery, and GCP ecosystem. Strong knowledge of GCP services, project structures, IAM policies, and cloud‑native design. Strong fundamentals in cloud cost optimization and FinOps practices. Strong proficiency in Python. Experience in code development, testing, deployment, and operational excellence. Excellent communication skills with the ability to work across global teams. Strong team‑player attitude and a passion for continuous learning, innovation, and impact. Preferred Qualifications Master’s degree in Computer Science or related field and 1–3 years of experience in software engineering. Demonstrated experience with ETL tools and working with large data sets in the cloud. Knowledge of accessibility best practices, including WCAG 2.2 AA standards and assistive technologies. Benefits Salaries: Bentonville, AR $90,000–$180,000/yr; Sunnyvale, CA $117,000–$234,000/yr. Performance‑based bonus awards. 401(k) matching and company‑sponsored stock purchase plan. Medical, dental, vision, and wellness programs. PTO, sick leave, and parental leave. Live Better U education benefit program with full tuition coverage for eligible associates. Other company discounts and benefits such as life insurance, short‑term and long‑term disability. Location Primary location: 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States. EEO Statement Walmart is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, veteran or disability status. #J-18808-Ljbffr Walmart