(USA) Staff, Data Engineer

Walmart•Sunnyvale, CA
•Onsite

About The Position

The Martech Global Data Foundations team, within 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, search engine marketing (SEM), search engine optimization (SEO), and emerging digital marketing channels, enabling customer engagement, business insights, and marketing effectiveness at Walmart scale. The role involves designing, building, and operating large-scale data pipelines and platform capabilities, setting engineering standards, and working with marketing technology stakeholders, product managers, and platform teams. It also provides technical leadership and mentoring to data engineers and champions engineering excellence across mission-critical marketing data pipelines. The position is based at Walmart’s Sunnyvale, California location. The annual salary range is $143,000 to $286,000, with additional annual or quarterly performance bonuses and, for certain positions, stock. Walmart describes a range of health, financial, leave, education, and other benefits; eligibility may depend on job classification and length of employment, and benefits may be subject to change.

Requirements

  • 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.
  • 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.
  • Staff-level leadership through domain ownership, cross-team influence, design reviews, mentoring, and measurable platform improvements at scale across 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.
  • 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

  • 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: a Walmart-paid education benefit program for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.
  • Annual or quarterly performance bonuses.
  • Stock may be included as additional compensation for certain positions.
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