Software Engineer III

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Closes: Nov 11, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $141k

$93k $189k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $124,400–$157,500.

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 990 open roles on FindRole.

Listed pay typically runs $117,000–$220,000 across 539 roles with salary data.

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At a glance

TL;DR · Software Engineer III

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The Software Engineer III will join the team to design and develop data pipelines within the supply chain domain to generate precise business metrics like demand forecasts. The role involves identifying automation measures to optimize pipeline performance, maintaining strict downstream SLAs, and providing post-production support. Key responsibilities include configuring infrastructure, analyzing intricate datasets, and collaborating with data scientists on feature engineering for production-grade ML models. The candidate must utilize Python, Java, Apache Spark, Hadoop, HDFS, and Apache Airflow. Technical requirements include experience with GCP, AWS, Azure, Docker, GitHub, PostgreSQL, and NoSQL databases. The position requires applying object-oriented design patterns, managing ETL workflows, and using Agile methodologies with Jira to ensure data quality, security, and correctness across large-scale distributed data systems.

What does a Software Engineer earn in California?

Median $214500 from 1126 postings across 74 companies.

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Skills

Python Java Apache Airflow Apache Spark GCP AWS Azure Docker PostgreSQL Hadoop HDFS ETL GitHub Agile Jira Machine Learning Data Warehousing

What you'll do

Design and develop scalable data pipelines to generate precise business metrics like demand forecasts.
Execute automation measures to optimize pipeline performance and maintain strict downstream SLAs.
Configure and maintain the infrastructure required for production-grade data pipelines.
Develop and implement advanced feature engineering pipelines to serve production-grade ML models.
Write automation tests and data validity scripts to ensure data quality, security, and correctness.
Author, schedule, and monitor complex data pipeline orchestration workflows using Apache Airflow.
Build distributed data processing pipelines using Apache Spark, Hadoop, and HDFS.
Develop Python-based analytical scripts to evaluate and benchmark machine learning model performance.

What we're looking for

Master’s degree or equivalent in Computer Science, Engineering, or a related field.
Experience designing and developing scalable backend systems and data processing frameworks using Python and Java.
Experience architecting and maintaining production-grade ETL pipelines using Java for large-scale data ingestion and transformation.
Experience designing distributed data systems leveraging parallel computing principles to optimize performance at scale.
Experience authoring, scheduling, and monitoring complex data pipeline orchestration workflows using Apache Airflow.
Experience working with cloud-based infrastructure solutions including GCP, AWS, and Azure.
Experience building distributed data processing pipelines in Apache Spark and Java using Hadoop and HDFS.
Experience managing source code version control, collaborative workflows, and containerized deployment pipelines using GitHub and Docker.

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