(USA) Staff, Data Engineer

Walmart•Sunnyvale, CA

17h

About The Position

Walmart is seeking a Staff Data Engineer to design, develop, and maintain scalable data infrastructure and pipelines that support business insights and decision-making. The role translates complex business requirements into data solutions and ensures data quality, governance, and compliance. The successful candidate collaborates across domains to optimize data integration, modeling, and transformation using modern technologies and cloud platforms, provides technical leadership and mentorship, and drives continuous improvement in data processes. The role is part of the Measurement & Reporting Team within the Global Data Foundation, which leads omnichannel measurement for Walmart Connect. The team designs and scales enterprise attribution and reporting systems that process billions of customer interactions daily. It develops multi-touch attribution models and resilient distributed data pipelines using technologies such as Scala, Apache Kafka, and cloud-based data lakes. Its work supports advertising decisions and retail intelligence across Walmart’s global ecosystem, delivering analytics to advertisers and brands.

Requirements

Proven expertise in data engineering, including building and maintaining scalable data pipelines and infrastructure.
Strong proficiency with Apache Kafka, Apache Spark, Apache Hive, and Apache Cassandra for data processing and storage.
Experience with ETL processes, data transformation, and integration across broad data sources and platforms.
Skill in SQL and NoSQL query languages for data modeling and analysis.
Knowledge of cloud-based data services, including Google Cloud Dataproc, and big data environments.
Ability to ensure data quality, governance, and compliance with regulatory and ethical standards.
Ability to translate complex business requirements into effective data solutions.
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

Experience in data engineering, database engineering, business intelligence, or business analytics.
Experience with ETL tools and working with large data sets 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, accessibility best practices, and Walmart accessibility standards and guidelines.

Responsibilities

Develop and maintain scalable data pipelines and architectures using technologies such as Apache Spark, Kafka, Hive, and Cassandra.
Translate complex business requirements into efficient data engineering solutions aligned with organizational strategy.
Implement data governance practices that ensure data quality, security, and compliance with regulatory standards.
Collaborate with cross-functional teams to identify, source, and integrate broad data sets for analysis and reporting.
Automate data ingestion, transformation, and integration processes using cloud platforms and ETL frameworks.
Review and optimize code and data models to improve performance and scalability.
Mentor team members and contribute to continuous improvement initiatives in data engineering.

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 education benefit program, with tuition, books, and fees paid for eligible programs.
Performance-based bonus awards; additional compensation may include stock.
PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.