Senior, Data Engineer | Sunnyvale

Walmart • Sunnyvale, CA

1d • Onsite

About The Position

Walmart is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support business insights, analytics, reporting, and decision-making. The role requires expertise in data integration, modeling, and governance within cloud and big data environments. The engineer will collaborate across functions to translate business requirements into effective data solutions, maintain data quality and accessibility, optimize data workflows, and support analytics initiatives that advance Walmart’s use of data assets.

The role is part of Walmart’s Customer Data Platform team, which builds scalable, reliable technology to enhance global shopping experiences. The team emphasizes technical excellence, integrity, collaboration, iterative development, code reviews, knowledge sharing, and continuous improvement. It uses advanced tools and AI integration to deliver customer-centered solutions and improve the shopping journey.

This is a full-time, onsite position based in Sunnyvale, California. Remote and hybrid options are not available. Immigration sponsorship is not available; applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.

Requirements

• A master’s degree and 5+ years of experience in data engineering, including data integration, modeling, and pipeline development, as stated in the role summary.
• Proficiency in SQL and familiarity with cloud-based data platforms such as Snowflake, Azure, or Google BigQuery.
• Strong knowledge of data governance, quality standards, and regulatory compliance.
• Expertise in designing scalable data architectures and managing data workflows using tools such as Apache Airflow.
• Ability to translate complex business requirements into effective data solutions and analytics.
• Skill in data transformation techniques, ETL processes, and handling structured and semi-structured data.
• Experience collaborating across business domains to align data strategy with organizational goals.
• Meet one of the listed minimum qualification options: a bachelor’s degree in Computer Science and 3 years of experience in software engineering or a related field; 5 years of experience in software engineering or a related field; or a master’s degree in Computer Science and 1 year of experience in software engineering or a related field.
• 2 years of experience in data engineering, database engineering, business intelligence, or business analytics.
• Authorization to work for any employer in the United States without current or future visa sponsorship.

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 3 years of experience in software engineering.
• Knowledge of creating inclusive digital experiences, including WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures for business analytics and reporting.
• Extract, transform, and load data from internal and external sources using ETL and streaming techniques.
• Collaborate with stakeholders to translate business requirements into effective data solutions aligned with strategic goals.
• Implement data modeling, governance, and quality standards to ensure accuracy, accessibility, and compliance.
• Develop and optimize SQL and other code for data integration, transformation, and analysis.
• Monitor and troubleshoot data workflows to ensure reliability and performance in cloud and big data environments.

Benefits

• Incentive awards and performance-based bonus awards.
• 401(k) match.
• Stock purchase plan.
• Paid maternity and parental leave.
• PTO, including sick leave, and/or PPTO.
• Medical, vision, and dental coverage; multiple health plans are available.
• Company-paid life insurance.
• 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, with tuition, books, and fees paid for eligible programs; eligibility requirements apply.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior