It’s exciting time to join our Walmart journey. We are seeking a Software Engineer to work and partner with teams to build Platforms, Machine Learning models and AI Agents under Finance Data Factory team within Finance Technology. About the Team As a part of Walmart Finance Technology – Finance Data Factory (FDF) team, we build industry defining Data platform/workflows that process large quantity of data that run on data platform for visualization and consumed by downstream applications Also, Machine Learning and statistical modeling that enable transparency, governance, and automation. The goals include improved Business partner user experience, standardizing the core and utilizing reporting/predictive analytics to uncover insights faster. You will be in the unique position to be of service to associates as a member of this organization supporting all segments of Walmart Finance. If you are the type of person who feels a personal stake in everything that you work on, has a strong sense of ownership, has a love for financial data, enjoys solving complex problems, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the product - then this role could be for you. The ideal candidate will be a driver for any given work stream within the program, working closely with the engineering and business teams to take an idea thru implementation and stabilization. Also, you will be positioned to work/partner with a team of data scientist to develop machine learning models to enable observability, monitoring, data Quality and impact-based alerting, orchestrate with multiple systems in the landscape to provide end-to-end visibility and connectivity between the systems to better serve business/customers. Provides visibility into data correctness, completeness, accuracy for downstream systems. Identifies data gaps upfront, hence providing proactive alerting. Enabling data transparency, insights hence help kick off the data remediation process in upstream systems.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees