Staff Data engineer

What you'll do

• Staff Data Engineer designs and builds high-scale platforms processing billions of advertising and customer signals across streaming, near-real-time, micro-batch, and batch workloads.
• Owns complex data domains from problem definition and design through production delivery and optimization.
• Engineers reliable systems with predictable latency, throughput, replayability, idempotency, fault recovery, and cost efficiency.
• Develops reusable, tenant-aware frameworks with standardized schemas, contracts, validation, observability, privacy, and deployment patterns.
• Modernizes pipelines supporting reporting, audience activation, measurement, optimization, and ML.
• Enables governed agentic workflows for discovery, development, monitoring, troubleshooting, documentation, and operational automation while improving engineering standards and delivery velocity across teams.

What you'll do

• Own major capabilities across advertising events, campaigns, identity, audiences, measurement, reporting, bidding, recommendations, forecasting, CRM, and marketing data.
• Build high-throughput streaming and near-real-time pipelines with replay, idempotency, fault recovery, and correct handling of late or duplicate events.
• Define latency, freshness, completeness, quality, and reliability objectives.
• Create reusable, tenant-aware frameworks supporting multiple businesses and markets.
• Optimize Spark, Kafka, BigQuery, Dataproc, storage, and orchestration performance and cost.
• Strengthen data quality, lineage, observability, testing, deployment, and incident response.
• Lead domain design reviews, mentor engineers, and enable governed agentic workflows for discovery, automation, diagnostics, and onboarding across global advertising products and partner teams.

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.
• AdTech or MarTech 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.

Pay and benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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

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.

Primary Location

1275 Crossman Ave, Sunnyvale, CA 94089-1103, United States of America