(USA) Staff, Data Engineer
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 large-scale systems that turn 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. It operates at the intersection of data and software engineering and AI-powered delivery, enabling real-time operational visibility, predictive insights, and autonomous supply chain capabilities. 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 solutions by integrating data from automation platforms across supply chain warehouse and transportation next-generation applications. Its mission is to create a unified intelligence layer for real-time visibility, predictive insights, and scalable AI-powered automation across Walmart's supply chain ecosystem. The position builds and scales enterprise platforms for Supply Chain Automation, develops data products, APIs, microservices, and user-facing applications, and partners with product, operations, and business teams to solve supply chain challenges using data, software, and AI. It uses AI-assisted development tools, coding agents, and prompt-driven engineering practices to accelerate innovation while maintaining reliability, scalability, observability, and operational excellence across business-critical systems.
Requirements
- 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.
- Proven expertise in data engineering, backend development, event-driven systems, real-time data processing, and scalable application design.
- Experience working with high-volume IoT, telemetry, sensor, automation, or machine-generated data is highly desirable.
- 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.
- One of the following: a bachelor's degree in Computer Science and 4 years of experience in software engineering or a related field; 6 years of experience in software engineering or a related field; or a 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.
Nice To Haves
- Experience in data engineering, database engineering, business intelligence, or business analytics.
- Experience with ETL tools and working with large data sets in the cloud.
- A master's degree in Computer Science or a related field and 4 years of experience in software engineering or a related field.
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices; experience creating inclusive digital experiences is valued.
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 while supporting platform reliability, scalability, observability, and operational excellence.
Benefits
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase.
- 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.
- Live Better U paid education benefit, including tuition, books, and fees for eligible programs.
- Performance-based bonus awards; annual or quarterly performance bonuses may apply.
- Stock may be included as additional compensation for certain positions.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
