Staff, Data Engineer

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$110,000–$220,000 / yr
Posted
13 days ago
Nearby
98 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $165k
$97k most similar roles pay here $233k

This role pays less than 57% of similar roles. Most pay $147,325–$214,500 — the shaded band above. At the midpoint, this role pays about $165k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 190 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 182 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Staff, Data Engineer

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As a Staff Data Engineer at Walmart’s India Development Center, you will lead small teams of engineers in building highly scalable data solutions for large-scale retail operations. You’ll drive cross-functional projects, implement AI/ML integrations within data pipelines, and collaborate with data scientists to operationalize models. With expertise in Hadoop, Hive, Apache Spark, and cloud platforms like Google Cloud or Azure, you will ensure high standards of code quality and system reliability while mentoring senior developers. Your role involves designing end-to-end data architectures, conducting design reviews, and optimizing observability using AI-powered tools. This position requires 8-10 years of experience in building scalable big data solutions and a strong background in cloud computing, ETL ecosystems, and CI/CD pipelines.

Skills

Hadoop Apache Spark Python Scala Google Cloud Platform Microsoft Azure Airflow data modeling CI/CD distributed computing AI/ML frameworks Kafka PostgreSQL MySQL Databricks Druid BigQuery ClickHouse Cosmos DB

What you'll do

  • Lead small engineering teams in developing scalable data solutions.
  • Drive execution of business plans by identifying operational needs and communicating strategies.
  • Implement AI/ML solutions within data pipelines for automation and optimization.
  • Collaborate with data scientists to operationalize AI models and enhance observability.
  • Ensure high standards of code quality, system reliability, and performance are maintained.

What we're looking for

  • Extensive experience (8-10+ years) in building highly scalable Big Data solutions and ETL ecosystems.
  • Expertise in cloud computing platforms, preferably Google Cloud Platform or Microsoft Azure.
  • Hands-on coding experience with Scala or Python, along with proficiency in Hadoop, Hive, Apache Spark.
  • Deep understanding of data architecture principles, distributed computing, and AI/ML frameworks.
  • Ability to lead technical teams, mentor senior developers, and communicate complex solutions effectively.
  • Experience in integrating AI-driven solutions for business impact and operational efficiency.
  • Strong background in data modeling, migration protocols, and working with large datasets in the cloud.

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