(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 position is part of the Martech Global Data Foundations team within Walmart’s AI & Data organization. The team builds and operates large-scale data pipelines and platform capabilities to support customer engagement and improve marketing effectiveness across paid and organic channels. The role involves designing and evolving distributed data systems, setting engineering standards, and partnering with marketing technology stakeholders, product managers, and platform teams to turn business needs into reusable data capabilities. It also provides technical leadership to other engineers and advances engineering practices for mission-critical global 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 across complex production environments globally.
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; ETL tools; and working with large datasets 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.
Background creating inclusive digital experiences, including knowledge of 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 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 plan.
Company-paid life insurance.
Paid time off, including sick leave.
Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Live Better U paid education program, including tuition, books, and fees for eligible programs.
Performance-based bonus awards.
Stock compensation may be included for certain positions.