Staff, Data Engineer

Walmart • Bentonville, AR

1d • Onsite

About The Position

The Data Engineering organization within Walmart Global Tech AI and Data team builds and operates the platforms that make this possible—enabling real‑time decision‑making, personalizing seller focused applications, and the next generation of AI‑driven and agent‑enabled systems. We build with a people‑led, tech‑empowered mindset, focused on reliability, trust, and long‑term sustainability.

Requirements

• 7–10+ years of experience in data engineering, building and operating large-scale, distributed, fault-tolerant data platforms.
• Deep expertise in cloud-native data ecosystems (GCP or Azure preferred), including services such as BigQuery, Dataflow, Pub/Sub, or equivalent, with experience shaping platform-level decisions.
• Proven track record of designing data architectures that scale across multiple teams and use cases, including batch, streaming, and hybrid systems.
• Strong understanding of agent-consumable data patterns, including semantic modeling, embeddings, knowledge graphs, and context enrichment strategies.
• Expert-level skills in data modeling and system design, with the ability to reason about how schema, latency, and storage choices impact retrieval quality and AI reasoning.
• Hands-on experience or strong familiarity with LLM-enabled systems, including prompt orchestration, retrieval-augmented generation (RAG), or agent frameworks (e.g., LangChain, LlamaIndex, CrewAI).
• Advanced knowledge of data governance and trust frameworks, including quality, access control, lineage, and compliance—especially for AI auditability.
• Fluency in Python, Java, or Scala, with a strong engineering mindset around testability, maintainability, and performance; deep experience with Spark/PySpark.
• Expert SQL skills and experience optimizing analytical workloads across massive datasets.
• Strong systems thinking and technical leadership, with the ability to influence without authority and drive alignment across organizational boundaries.
• Experience with real-time and analytical tooling such as Kafka, Spark Streaming, Druid, Presto, and how they fit into modern data and AI architectures.
• Bachelor’s degree in Computer Science and 4 years' experience in software engineering or related field.
• 6 years’ experience in software engineering or related field.
• Master's degree in Computer Science and 2 years' experience in software engineering or related field.
• 3 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Nice To Haves

• 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 4 years' experience in software engineering or related field
• 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.
• 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.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to support business analytics and reporting needs.
• Collaborate with cross-functional teams to identify data requirements and translate them into efficient data models and architectures.
• Extract, transform, and integrate data from internal and external sources, ensuring data quality and consistency.
• Implement and optimize data storage solutions using cloud platforms and big data technologies such as Apache Spark and Kafka.
• Analyze complex data flows and system integrations to propose effective solutions and improvements.
• Develop, test, and deploy code to automate data processing and support data governance standards.

Benefits

• Competitive pay
• Performance-based bonus awards
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement leave
• Jury duty leave
• Voting leave
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption expense reimbursement
• Surrogacy expense reimbursement
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• Walmart-paid education benefit program (Live Better U) for full-time and part-time associates
• Tuition, books, and fees are completely paid for by Walmart for education benefit program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior