(USA) Staff, Data Engineer

Walmart•Sunnyvale, CA

23h

About The Position

Join Walmart Global Tech's Global Data Foundations (GDF) team to build next-generation Supply Chain Automation and Enterprise Intelligence platforms, including Digital Twin, Predictive Maintenance, and AI-driven warehouse and transportation solutions. The role develops systems that transform real-time automation, robotics, IoT, sensor, SCADA, and maintenance data into actionable intelligence to improve operational efficiency, asset reliability, throughput, and decision-making across Walmart's fulfillment and distribution network. The Global Data Foundations E2E Supply Chain Automation team builds Walmart's enterprise platform for warehouse automation intelligence. It enables Digital Twin, Predictive Maintenance, Computer Vision, robotics telemetry, IoT analytics, and operational intelligence by integrating data from automation platforms across supply-chain warehouse and transportation applications. The team's mission is to provide a unified intelligence layer for real-time visibility, predictive insights, and scalable AI-powered automation. The Staff Data Engineer builds and scales enterprise platforms and develops data products, APIs, microservices, and user-facing applications that process large-scale automation and operational data. The role partners with product, operations, and business teams to address supply-chain challenges using data, software, and AI, and uses AI-assisted development tools and prompt-driven engineering to accelerate delivery while maintaining reliability, scalability, observability, and operational excellence.

Requirements

Option 1: Bachelor's degree in Computer Science and 4 years of experience in software engineering or a related field.
Option 2: 6 years of experience in software engineering or a related field.
Option 3: Master's degree in Computer Science and 2 years of experience in software engineering or a related field.
3 years of experience in data engineering, database engineering, business intelligence, or business analytics.
Strong experience building large-scale distributed data and software platforms using technologies such as Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React, APIs, and cloud-native architectures.
Expertise in data engineering, backend development, event-driven systems, real-time data processing, and scalable application design.
Passion for applying AI and automation to complex business problems, with hands-on experience using AI-powered development tools, coding agents, and prompt-driven engineering workflows.
Strong problem-solving, ownership, and collaboration skills, with the ability to deliver business impact at enterprise scale.

Nice To Haves

Experience with high-volume IoT, telemetry, sensor, automation, or machine-generated data.
Experience in data engineering, database engineering, business intelligence, or business analytics.
Experience with ETL tools and working with large data sets in the cloud.
Master's degree in Computer Science or a related field and 4 years of experience in software engineering or a related field.
Background creating inclusive digital experiences, including knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and Walmart accessibility standards and guidelines.

Responsibilities

Build and scale enterprise platforms for Supply Chain Automation initiatives, including Digital Twin, Predictive Maintenance, warehouse intelligence, and operational analytics.
Develop high-performance data products, APIs, microservices, and user-facing applications that process large-scale automation, robotics, IoT, sensor, and operational data.
Partner with product, operations, and business teams to solve complex supply-chain challenges using data, software, and AI.
Use AI-assisted development tools, coding agents, and prompt-driven engineering practices to accelerate innovation.
Drive platform reliability, scalability, observability, and operational excellence across business-critical systems.

Benefits

Medical, vision, and dental coverage.
401(k), stock purchase, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO usable for vacation, sick leave, holidays, or other purposes.
Walmart-paid Live Better U education benefit for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.
Performance-based bonus awards, including annual or quarterly performance bonuses.
Stock may be included as additional compensation for certain positions.