Walmart’s Enterprise Business Services (EBS) is a powerhouse of seven exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. Join the Finance Data Factory team within Walmart Global Tech’s FinTech organization as a Senior Software Engineer. In this role, you will design and build AI-driven data solutions that impact Walmart’s global operations. We seek candidates with strong Big Data and AI engineering expertise to solve complex, large-scale business challenges. About the Team: Finance Data Factory is central to Walmart’s financial data infrastructure, creating and maintaining authoritative datasets used across the enterprise. Our work standardizes financial data, powers automation and analytics, supports executive reporting, and ensures data scalability and compliance. We collaborate with technology and business partners to deliver scalable, high-quality data products that drive efficiency and innovation. What You'll Do: Design, build, and deploy data engineering solutions to support business needs. Develop and maintain data pipelines, ensuring data quality and relevance. Analyze and model complex data systems, creating efficient data flows and structures. Write, test, and deploy code for data solutions, including documentation and progress updates. Translate business problems into data-driven solutions and provide actionable recommendations. Implement and promote data governance practices. Collaborate with stakeholders to align solutions with business strategy. What You'll Bring: Bachelor’s or Master’s in Computer Science or related field. 6+ years’ experience with Scala/Python (PySpark), distributed databases, Kafka, and multi-threading. Experience with streaming data (Kafka/structured streaming), data ingestion frameworks, and orchestration tools (Airflow preferred). Strong knowledge of CS fundamentals, data structures, and algorithms. Hands-on experience with GCP data tools (GCS, DataProc, DPaaS, BigQuery). CI/CD automation experience (Git, Jenkins, Looper). Knowledge of LLM agent development and prompt engineering. Excellent communication and collaboration skills. Commitment to productivity and process improvement. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees