(USA) Staff, Data Engineer

Walmart • Sunnyvale, CA

2d • $143,000 - $286,000

About The Position

The Staff Data Engineer will own the architecture and technical direction for data platforms powering Walmart’s global marketing technology ecosystem, including CRM, SEM, SEO, and emerging digital channels. The role is part of the Martech Global Data Foundations team within Walmart’s AI & Data organization and supports customer engagement across paid and organic marketing channels. The team designs, builds, and operates large-scale data pipelines and platform capabilities to enable scalable, reliable data solutions, business insights, and marketing effectiveness.

The engineer will architect distributed pipelines and platform capabilities, set engineering standards, and partner with marketing technology stakeholders, product managers, and platform teams to turn business requirements into reusable data platform capabilities. The role also provides technical leadership and mentorship to engineers, raises engineering standards, and contributes to the long-term technical roadmap for mission-critical marketing data systems.

Requirements

• Option 1: Bachelor’s degree in Computer Science and 4 years of experience in software engineering or a related field; Option 2: 6 years of experience in software engineering or a related field; or Option 3: 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.
• 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 production environments globally.

Nice To Haves

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

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 team’s technical standards.
• 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

• 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, a Walmart-paid education benefit program for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.
• Performance-based bonus awards and additional compensation that may include stock.

What This Job Offers

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