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Position Summary...
What you'll do...
Role summary:The Principal Software (Data) Engineer – Tech leads the evolution of our Data Lake and enterprise data platform. This role defines architecture, standards, and engineering practices for scalable, reliable, and intelligent data systems. It designs and operates data pipelines, event streaming applications, and large-scale platforms for analytics, operations, and AI-driven experiences. The engineer partners with teams across engineering, product, analytics, machine learning, and infrastructure to ensure a trusted, scalable, future-ready data ecosystem. The role also advances AI-ready data enablement and uses AI tools to improve productivity, delivery, and operational effectiveness.
About the team:
The Data Engineering team for the Vizio Datalake drives a data-first approach to support key business and product goals. The team ensures data quality, governance, visibility, and accessibility to enable reliable analytics and faster decision-making. Collaborating across functions, members design and implement scalable technical solutions while maintaining strong standards for data integrity. Leveraging expertise in cloud architecture, system design, and problem-solving, the team delivers impactful results that advance organizational objectives and continuous improvement. This environment fosters innovation, technical excellence, and cross-functional collaboration.
What you'll do:
- Lead large, cross-functional engineering projects from requirements gathering through design and delivery
- Provide technical leadership, collaboration, and clear communication across teams
- Conduct design and code reviews to ensure quality and architectural alignment
- Design scalable, high-availability, high-performance data platforms
- Contribute hands-on while influencing architecture and technical direction
- Solve complex technical problems across structured, semi-structured, and unstructured data
- Work in cloud-native environments
- Mentor others and drive continuous improvement
- Build AI-ready, discoverable, context-rich data foundations
- Apply AI tools in engineering workflows for code generation, pipeline acceleration, documentation, debugging, testing, or operational support
What you'll bring:
- Strong technical leadership, communication, and collaboration skills
- Strong analytical and problem-solving skills, with a passion for mentoring others
- Proficiency in Python, SQL, and PySpark
- Experience with SQL/NoSQL databases
- Experience designing and implementing ETL/ELT at scale
- Experience managing batch, streaming, and real-time data pipelines
- Hands-on experience with AWS, GCP, Databricks, Snowflake, Spark, Kafka, and Airflow
- Understanding of distributed processing and in-memory computation
- Strong software engineering practices
- Experience with data observability, schema design, and governance
- A strong understanding of how data foundations enable AI at scale, including AI-ready, discoverable, context-rich data
- A pragmatic approach to using AI to improve engineering productivity and quality
- Comfort contributing hands-on while shaping architecture and technical direction
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $121,000.00 - $242,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years’ experience in software engineering or related area.Option 2: 7 years’ experience in software engineering or related area.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 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 integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
55 Madison St, Denver, CO 80206-5419, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Learn more about this Employer on their Career Site
