(USA) Staff, Data Engineer
Job Description
Position Summary...
Role summary: The Martech Global Data Foundations team is seeking a Staff Data Engineer to own the architecture and technical direction for the data platforms powering Walmart's global marketing technology ecosystem — spanning CRM, SEM, SEO, and emerging digital channels. This is a high-impact, high-visibility role for an engineer who thrives at the intersection of large-scale distributed data systems and marketing-driven business outcomes. About the team: The Martech Global Data Foundations team is part of Walmart’s AI & Data organization within the Data Foundations pillar. This team serves as the engineering backbone for Walmart’s global marketing technology ecosystem. They design, build, and operate large-scale data pipelines and platform capabilities that support customer engagement across paid and organic marketing channels, including CRM, Search Engine Marketing (SEM), Search Engine Optimization (SEO), and emerging digital marketing platforms. The team leverages advanced data engineering tools and technologies to enable efficient, scalable, and reliable data solutions that drive business insights and marketing effectiveness at Walmart scale.What you'll do...
What you'll do:- Architect and evolve large-scale, distributed data pipelines and platform capabilities that ingest, process, and serve data across all marketing channels.
- Set technical direction and engineering standards (data modeling, pipeline design patterns, observability).
- Partner cross-functionally with marketing technology stakeholders, product managers and platform teams to translate business requirements into robust, reusable data platform capabilities.
- Mentor and provide technical leadership to senior and mid-level data engineers; conduct design/code reviews and raise the technical bar across the team.
- Champion engineering excellence practices — CI/CD, automated testing, monitoring/alerting, incident response, and on-call readiness — for mission-critical marketing data pipelines and contribute to long term technical roadmap
What you'll bring:
- 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 plus Java or Scala proficiency.
- Knowledge of data quality, lineage, observability, CI/CD, testing, reliability, and incident management.
- Martech or Adtech experience is preferred.
- Proven Staff-level leadership through domain ownership, cross-team influence, design reviews, mentoring, and measurable platform improvements at scale across complex production environments globally.
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 $143,000.00 - $286,000.00 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 and 4 years' experience in software engineering or related field. Option 2: 6 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.3 years' experience in data engineering, database engineering, business intelligence, or business analytics.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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 related field and 4 years' experience in software engineering or related field, 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.