Staff, Software Engineer- Data Engineer

Walmart•Bellevue, WA
•$132,000 - $264,000

About The Position

As a Staff Software Engineer, you will lead the design and delivery of scalable platform capabilities, guiding the full software development lifecycle with a focus on cloud-native architecture and AI/ML integration. The role provides technical leadership in system design, infrastructure tooling, and developer productivity. You will collaborate across teams to turn complex requirements into actionable solutions, mentor engineers, and promote engineering excellence through data-driven decision-making and continuous improvement. Your work will support high-quality, maintainable software aligned with business objectives and platform innovation. Walmart Data Ventures operates with the agility of a nimble startup, delivering data products. The team developed Scintilla, a platform that provides customer-centric insights to help CPGs and Walmart merchants make data-driven decisions. The group focuses on technical strategy, reliability engineering, scalability, and cloud-native architecture, while fostering operational due diligence, continuous improvement, learning, and engineering excellence.

Requirements

  • Expert-level knowledge of Java, SQL/NoSQL databases, distributed caching, Kafka, and container technologies.
  • Proven expertise in object-oriented programming and documentation-based coding practices.
  • Strong technical acumen and experience with code review, debugging, and continuous development.
  • Experience guiding engineers in building secure REST services using Spring Boot, Spring MVC, Kafka, Kubernetes, Maven, and cloud technologies.
  • Good knowledge of Spark, Scala, and Python.
  • 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 a related area and 4 years of experience in software engineering or a related area.
  • Option 2: 6 years of experience in software engineering or a related area.

Nice To Haves

  • Experience with BigQuery and Google Cloud.
  • Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or a related area and 2 years of experience in software engineering or a related area.
  • Background creating inclusive digital experiences, including knowledge of WCAG 2.2 AA standards, assistive technologies, and accessibility best practices.

Responsibilities

  • Deliver platform capabilities, including infrastructure, tooling, and ML frameworks, aligned with roadmap milestones and domain priorities.
  • Lead full software development lifecycle activities, including coding, testing, deployment, monitoring, and maintenance.
  • Apply cloud-native architecture principles to build scalable, resilient, and agile systems.
  • Conduct system design reviews to validate feasibility and 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.

Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase, and company-paid life insurance.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Short-term and long-term disability.
  • Company discounts.
  • Military Leave Pay.
  • Adoption and surrogacy expense reimbursement.
  • Live Better U education benefit, including tuition, books, and fees for eligible programs.
  • Annual or quarterly performance bonuses; stock may be additional compensation for certain positions.
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