1 day ago
Base Salary
$150k - $234k/yr
Responsibilities
- Design and develop scalable data pipelines and ETL workflows for supply chain metrics, demand forecasts, and large-scale data ingestion and transformation.
- Optimize pipeline performance, resource utilization, running costs, and downstream SLA compliance through automation and enhancements.
- Develop distributed data processing systems using parallel computing principles, Apache Spark, Java, Hadoop, and HDFS.
- Author, schedule, monitor, and maintain production data orchestration workflows using Apache Airflow.
- Configure cloud infrastructure and containerized deployment pipelines using GCP, AWS, Azure, GitHub, and Docker.
- Collaborate with stakeholders and data scientists to define requirements, create technical designs, develop feature engineering pipelines, and support production ML models.
- Analyze datasets and machine learning performance metrics using Python-based analytical scripts.
- Maintain data quality, security, correctness, access policies, and production availability through validation scripts, automation tests, and post-production support.
- Track project tasks and support sprint-based delivery workflows using Jira.
Requirements
- Master's degree or equivalent in Computer Science, Engineering, or a related field.
- Experience with Python and Java for scalable backend systems, data processing frameworks, and production-grade ETL pipelines.
- Experience designing distributed data systems and applying parallel computing principles at scale.
- Experience applying object-oriented design patterns to modular and maintainable software components.
- Experience with Apache Airflow, cloud infrastructure, GitHub, Docker, Apache Spark, Hadoop, HDFS, PostgreSQL, and NoSQL databases.
- Experience developing analytical scripts for machine learning model evaluation, validation, and benchmarking.
- Knowledge of feature engineering, machine learning concepts, model evaluation, and data warehousing principles.
- Employer will accept any amount of graduate coursework, graduate research experience, or professional experience with the required skills.
Benefits
- Health coverage including medical, vision, and dental insurance.
- Financial benefits including 401(k), stock purchase, and company-paid life insurance.
- Paid time off including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
- Short-term and long-term disability coverage, education assistance including company-paid college degrees, company discounts, military service pay, and adoption expense reimbursement.
- Annual or quarterly performance incentives are available in addition to base salary.
- The position is located at 1375 Crossman Avenue in Sunnyvale, California.
Tech Stack
Categories
Data Engineering
About Walmart
Walmart is a global omnichannel retailer that sells groceries, general merchandise, and services through Walmart and Sam's Club stores and online marketplaces for consumers and small businesses. Its model spans physical retail, e-commerce, advertising, and a vast supply chain, plus pharmacy, health, and financial services. Founded in 1962 and headquartered in Bentonville, Arkansas, Walmart Inc. is a public company on the NYSE (WMT) operating in the U.S. and multiple international markets.