Staff, Data Engineer

About the role

GDF (Global Data Foundation) is part of Walmart's AI & Data organization - the team building the foundational data platforms that power AI, analytics, and decision-making across every Walmart banner and geography, from supply chain and merchandising to customer experience and enterprise AI agents.

What you'll do

• Design, build, and operate large-scale batch and streaming data pipelines using Spark, Java, and Python, processing data at Walmart scale
• Apply strong software engineering fundamentals - clean architecture, automated testing, CI/CD, code review discipline - to data engineering work
• Apply domain-oriented design, system design, and low-level design (LLD) rigor to ambiguous data and platform problems - evaluating dependencies, trade-offs
• Flex into platform/software engineering work when needed: build and maintain services, APIs, and distributed systems that data pipelines depend on
• Integrate AI, GenAI, and agentic capabilities directly into the data platform: embeddings/vector search for data discovery

What you need

• 6–11 years in data science & ai
• Python
• ETL
• LLMs
• Spark
• MLOps
• Hadoop
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• C++
• Go
• Scala
• Data modelling
• Kafka
• Airflow