Staff, Data Engineer
Job Description
As a Staff Data Engineer on Walmart Global Tech’s Global Data Foundations team, you will help build enterprise platforms and data products that support supply chain automation and enterprise intelligence. This role focuses on turning real-time automation, robotics, IoT, and sensor inputs into actionable insights, while partnering with product and business teams to apply data, software, and AI to high-impact supply chain challenges.
Location: Sunnyvale, CA (onsite)
Salary: USD 110,000 - 286,000 per year
What you’ll build
- Build and scale enterprise platforms powering Walmart’s 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 processing large-scale automation, robotics, IoT, sensor, and operational data.
- Use AI-assisted development approaches, including coding agents and prompt-driven engineering, to accelerate innovation while driving platform reliability, scalability, observability, and operational excellence for business-critical systems.
How you’ll work with others
- Partner with product, operations, and business teams to solve complex supply chain problems using data, software, and AI.
- Translate automation and operational signals into a unified intelligence layer that supports real-time visibility, predictive insights, and scalable AI-powered automation.
Required qualifications
- Strong experience building large-scale distributed data and software platforms using 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.
- Passion for applying AI and automation to solve 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.
- 3 years of experience in data engineering, database engineering, business intelligence, or business analytics.
Education and experience options:
- Option 1: Bachelor’s degree in Computer Science and 4 years’ experience in software engineering or related field.
- Option 2: 6 years’ experience in software engineering or related field.
- Option 3: Master’s degree in Computer Science and 2 years’ experience in software engineering or related field.
Preferred / additional focus areas
- Experience working with high-volume IoT, telemetry, sensor, automation, or machine-generated data is highly desirable.
- Knowledge of accessibility best practices, including WCAG 2.2 AA standards, assistive technologies, and implementing inclusive digital experiences.
Technologies you may work with
- Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React, APIs, cloud-native architectures, microservices
- Digital Twin, Predictive Maintenance, Computer Vision, robotics telemetry, IoT analytics, SCADA
Benefits
- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO
- Live Better U (Walmart-paid education benefit program for associates)
About the team
The Global Data Foundations E2E Supply Chain Automation team builds Walmart’s enterprise platform for warehouse automation intelligence. The team 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 next gen transportation applications.
The mission is to create a unified intelligence layer that enables real-time visibility, predictive insights, and scalable AI-powered automation across Walmart’s supply chain ecosystem.
Primary location: 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America