(USA) Staff, Data Engineer

Posted 2 Days Ago
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Sunnyvale, CA, USA
Hybrid
143K-286K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Designs and operates billion-scale distributed data platforms across streaming, near-real-time, micro-batch, and batch workloads. Owns advertising and marketing data domains, building reliable, scalable, tenant-aware pipelines with strong latency, quality, observability, privacy, and cost controls. Optimizes Spark, Kafka, BigQuery, Dataproc, storage, and orchestration systems. Leads architecture reviews, mentors engineers, improves incident response, and enables governed agentic workflows across global advertising products.
Summary Generated by Built In
Position Summary...

What you'll do...Role summary:
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.
About the team:
Global AdTech and MarTech builds data and decisioning platforms powering advertising across Walmart U.S., Sam’s Club, and international markets. Connects identity, intent, audiences, campaigns, inventory, bidding, relevance, creative, transactions, attribution, and measurement at massive scale. Enables Sponsored Products, Display, Connected TV, offsite, social, and in-store advertising, along with reporting, targeting, optimization, forecasting, recommendations, and analytics. Operates platforms processing billions of events and tens of billions of bids daily. Designs for latency, correctness, resilience, privacy, scalability, tenant isolation, and cost efficiency. Advances AI and agentic advertising through trusted, governed, reusable data foundations for advertisers, customers, and internal business 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. 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. For information about PTO, see https://one.walmart.com/notices. 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

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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.

Primary Location...

815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills Required

  • Bachelor's degree in Computer Science and 4 years of experience in software engineering or a related field
  • 6 years of experience in software engineering or a related field
  • 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
  • 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, Google Cloud Storage, 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
  • Master's degree in Computer Science or a related field and 4 years of experience in software engineering or a related field
  • Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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