Software Engineer- Data Engineer

What you’ll do... As a Staff Software Engineer, you will lead the design and delivery of scalable platform capabilities, driving the full software development lifecycle with a focuson cloud native architecture and AI/ML integration. This role requires technical leadership in system design, infrastructure tooling, and developer productivity enhancements. You will collaborate across teams to translate complex requirements into actionable solutions, mentor engineers, and promote engineering excellence through data-driven decision making and continuous improvement.

Your contributions will ensure high-quality, maintainable software that aligns with business objectives and advances platform innovation.

Walmart Data Ventures operates with the agility of a nimble startup, delivering best-in-class data products. The team developed Scintilla, a platform providing actionable, customer-centric insights that empower CPGs and Walmart merchants to make informed, data-driven decisions efficiently. Focused on technical strategy, reliability engineering, scalability, and cloud-native architecture, the group builds innovative solutions. Members engage in operational due diligence and continuous improvement, fostering a culture of learning and excellence to support Walmart’s commitment to delivering value through advanced data capabilities and cutting-edge technology.

• Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones and domain priorities.
• Lead full software development lifecycle activities such as coding, testing, deployment, monitoring, and maintenance.
• Apply cloud-native architecture principles to ensure scalable, resilient, and agile systems.
• Conduct system design reviews to validate feasibility and ensure alignment with architectural best practices.
• Build AI-driven applications and integrate ML components to support automation and intelligent features.
• Mentor engineers, influence technical decisions, and promote engineering excellence through documentation and knowledge sharing.
• Collaborate with stakeholders to define technical requirements and track success metrics using data-driven practices.

• Proven expertise in object-oriented programming and documentation-based coding practices.
• Strong technical acumen with experience in code review, debugging, and continuous development.
• Guide engineers in building secure REST services using Spring Boot, Spring MVC, Kafka, Kubernetes, Maven, and cloud technologies Good knowledge of Spark, Scala, Python Expert-level knowledge of Java, SQL/No
  
  SQL databases, distributed caching, Kafka, and container technologies Experience with Big Query and Google Cloud is a plus
• Lead full SDLC: design, coding, testing, CI/CD deployment, monitoring, and maintenance.
• Architect cloud‑native, resilient systems using microservices and containerization.
• Effective problem-solving skills and commitment to engineering excellence and continuous improvement.

• Option 1:
  Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
• Option 2: 6 years’ experience in software engineering or related area.

• Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area,
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and…