Position: Software Engineer III
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: Design and develop data pipelines within the supply chain domain, enabling the generation of precise business metrics like demand forecasts. Identify and execute automation measures and enhancements to optimize pipeline’s performance to maintain minimum running costs and adhere to the strict downstream SLAs. Collaborate closely with stakeholders to grasp diverse feature requirements, formulate technical specifications, and recommend designs and pipeline development at a substantial scale. Provide post-production support ensuring no downtime for our business serving pipelines. Configure the infrastructure essential for these pipelines. Collect and analyze extensive and intricate datasets. Disseminate vital metrics and datasets to relevant stakeholders. Collaborate with data scientists to devise and implement advanced feature engineering pipelines to serve complex production grade ML models and share insights for model accuracy. Ensure that best standards of data quality, sanctity, security, and correctness is maintained in production grade pipelines by writing automation test, data validity scripts, and maintaining strict access policies.
Minimum education and experience required: Master’s degree or equivalent in Computer Science, Engineering (any), or a related field. Position does not require specific years of experience but requires listed skills.
Skills Required: Experience designing and developing scalable backend systems and data processing frameworks using Python and Java. Experience architecting, implementing, and maintaining production-grade ETL pipelines using Java for large-scale data ingestion and transformation workflows. Experience designing distributed data systems that leverage parallel computing principles to optimize processing performance and resource utilization at scale. Experience applying object-oriented design patterns to build modular, maintainable, and extensible software components across data engineering platforms. 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 to support scalable ETL workloads and data processing services. Experience managing source code version control, collaborative development workflows, and containerized deployment pipelines using GitHub and Docker. Experience building distributed data processing pipelines in Apache Spark and Java, utilizing big data frameworks including Hadoop and HDFS for high-volume data operations. Experience working with relational database systems including PostgreSQL, as well as NoSQL database technologies, for structured and unstructured data storage and retrieval. Experience developing Python-based analytical scripts to evaluate, validate, and benchmark machine learning model performance metrics. Experience applying machine learning concepts including feature engineering, model evaluation, and data warehousing principles to support data-driven decision-making systems. Experience managing end-to-end project task tracking and sprint-based delivery workflows using Agile methodologies and tools including Jira. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.
Salary Range: $150,080/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.
Wal-Mart is an Equal Opportunity Employer.
#LI-DNI #LI-DNP
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- 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, implementing, and maintaining production-grade ETL pipelines using Java
- Experience designing distributed data systems using parallel computing principles
- Experience applying object-oriented design patterns to build modular software components
- Experience authoring, scheduling, and monitoring data pipeline workflows using Apache Airflow
- Experience with GCP, AWS, and Azure cloud infrastructure for ETL and data processing
- Experience with GitHub, source control, collaborative development, and Docker containerized deployments
- Experience building distributed data processing pipelines using Apache Spark, Java, Hadoop, and HDFS
- Experience with PostgreSQL and NoSQL database technologies
- Experience developing Python analytical scripts for machine-learning model evaluation and benchmarking
- Experience applying machine-learning concepts, feature engineering, model evaluation, and data warehousing
- Experience with Agile methodologies and Jira for task tracking and sprint delivery
- Graduate coursework, graduate research experience, or professional experience with the required skills
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.








