Wal-Mart Associates, Inc.Hiring

Staff Data Engineer

  • Remote, United States
  • Senior
  • Posted 3 days ago
In one line

Staff data engineering role on a global data foundations team, building large-scale platforms that turn warehouse automation and sensor data into usable intelligence.

About the role

Work sits where data and software engineering meet AI delivery, supporting real-time visibility and predictive insights across fulfillment and distribution. The team builds a unified intelligence layer for automation platforms.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React
Posted
26 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Build and scale enterprise platforms for supply chain automation, predictive maintenance and analytics
  • Develop data products, APIs, microservices and user-facing apps handling large volumes of operational data
  • Work with product, operations and business teams on supply chain problems using data, software and AI

What they look for

  • Experience with large distributed data and software platforms using Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React an
  • Background in data engineering, backend work, event-driven systems and real-time processing
  • Hands-on use of AI-assisted development tools and prompt-driven workflows

Nice to have

  • Experience with high-volume IoT, telemetry, sensor or machine-generated data

Benefits

  • Medical, vision and dental coverage
  • Paid time off including sick, parental, family care, bereavement, jury duty and voting leave
  • Short-term and long-term disability

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Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Staff Data Engineer as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: experience with large distributed data and software platforms using Spark, BigQuery, Java, Python, Kafka, Cassandra, Elasticsearch, React an; background in data engineering, backend work, event-driven systems and real-time processing; hands-on use of AI-assisted development tools and prompt-driven workflows. Skills it names include Spark, BigQuery, Java, Python.

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