(USA) Staff, Data Engineer

Walmart • Sunnyvale, CA

16h

About The Position

The Martech Global Data Foundations team, part of Walmart’s AI & Data organization, is seeking a Staff Data Engineer to own the architecture and technical direction of data platforms powering Walmart’s global marketing technology ecosystem. The platforms support CRM, SEM, SEO, and emerging digital marketing channels, enabling customer engagement, business insights, and marketing effectiveness at Walmart scale.

The role involves architecting and evolving large-scale distributed data pipelines and platform capabilities, setting technical direction and engineering standards, and partnering with marketing technology stakeholders, product managers, and platform teams to translate business needs into robust, reusable capabilities. The Staff Data Engineer provides technical leadership and mentorship to engineers and champions engineering excellence across mission-critical marketing data pipelines.

Requirements

• Strong experience designing and operating billion-scale distributed data systems using Spark, Kafka, streaming, orchestration, and large-scale batch technologies.
• Deep expertise in SQL, data modeling, partitioning, performance tuning, incremental processing, and compute and storage optimization.
• Hands-on experience with GCP or equivalent cloud platforms, including BigQuery, Dataproc, Dataflow, Pub/Sub, GCS, and Airflow.
• Strong Python skills and proficiency in Java or Scala.
• Knowledge of data quality, lineage, observability, CI/CD, testing, reliability, and incident management.
• Proven Staff-level leadership through domain ownership, cross-team influence, design reviews, mentoring, and measurable platform improvements at scale in complex global production environments.
• Bachelor’s degree in Computer Science and 4 years of experience in software engineering or a related field; or 6 years of experience in software engineering or a related field; or a master’s degree in Computer Science and 2 years of experience in software engineering or a related field.
• 3 years of experience in data engineering, database engineering, business intelligence, or business analytics.

Nice To Haves

• Martech or Adtech experience.
• Experience in data engineering, database engineering, business intelligence, or business analytics.
• Experience with ETL tools and working with large data sets in the cloud.
• A master’s degree in Computer Science or a related field and 4 years of experience in software engineering or a related field.
• Knowledge of inclusive digital experiences, WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

• Architect and evolve large-scale distributed data pipelines and platform capabilities that ingest, process, and serve data across marketing channels.
• Set technical direction and engineering standards for data modeling, pipeline design patterns, and observability.
• Partner with marketing technology stakeholders, product managers, and platform teams to translate business requirements into robust, reusable data platform capabilities.
• Mentor senior and mid-level data engineers, conduct design and code reviews, and raise the technical bar across the team.
• Champion CI/CD, automated testing, monitoring and alerting, incident response, and on-call readiness for mission-critical marketing data pipelines.
• Contribute to the long-term technical roadmap.

Benefits

• Competitive pay and performance-based bonus awards.
• Medical, vision, and dental coverage.
• 401(k), stock purchase plan, 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, with tuition, books, and fees paid for eligible programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior