(USA) Staff, Data Engineer

Walmart•Sunnyvale, CA

2d•$143,000 - $286,000

About The Position

The Staff, Data Engineer designs, develops, and maintains scalable data architectures and pipelines that support business insights and decision-making. The position applies data modeling, integration, and governance expertise in cloud and big data environments, translating complex business requirements into effective data solutions and ensuring data quality while collaborating with stakeholders on data strategy. The role is part of the Measurement & Reporting Team within the Global Data Foundation, which drives omnichannel measurement for Walmart Connect. The team builds enterprise attribution and reporting systems that process billions of digital and in-store customer interactions daily, develops multi-touch attribution models, and creates 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. The engineer develops and tests data transformation, integration, and storage code; helps integrate data sources for analytics and reporting; and supports data governance, metadata management, modeling, and documentation. The position adheres to regulatory and ethical standards for data privacy, quality, and security. The annual salary range is $143,000–$286,000. Additional compensation may include annual or quarterly performance bonuses and, for certain positions, stock.

Requirements

Proficiency in Scala and experience with data engineering and architecture principles.
Expertise building and managing data pipelines, data lakes, and ETL processes using tools such as Apache Kafka, Hive, and Cassandra.
Strong knowledge of SQL and NoSQL query languages for data modeling and integration.
Experience with cloud platforms such as Google Cloud Dataproc and with big data environments.
Understanding of data governance, quality frameworks, and regulatory requirements related to data privacy and security.
Ability to translate complex business requirements into scalable data solutions aligned with enterprise strategy.
Familiarity with data strategy development and implementation to drive business insights and value.
One of the following software engineering backgrounds: a 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; 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.
A 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, and digital accessibility best practices.

Responsibilities

Translate complex business requirements into scalable data engineering solutions aligned with organizational strategy.
Design, develop, and maintain data pipelines and architectures using technologies such as Apache Kafka, Hive, and Cassandra.
Implement data governance practices that support regulatory and ethical standards for data privacy, quality, and security.
Collaborate with cross-functional teams to identify and integrate data sources for analytics and reporting.
Develop and test code for data transformation, integration, and storage in cloud and big data environments.
Provide guidance on data modeling, metadata management, and documentation for enterprise data initiatives.

Benefits

Medical, vision, and dental coverage.
401(k), stock purchase plan, and 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.
PTO and/or PPTO usable for vacation, sick leave, holidays, or other purposes.
Live Better U education benefit for eligible full-time and part-time associates, covering tuition, books, and fees for eligible programs.
Performance-based bonus awards and, for certain positions, stock.