(USA) Senior, Data Engineer

Walmart•Sunnyvale, CA

19h

About The Position

Join Walmart’s Global Data Foundation (GDF) team as a Senior Data Engineer. The role focuses on data integration, modeling, and pipeline development to deliver scalable data solutions. You will translate complex business requirements into technical solutions while maintaining data quality, governance, and compliance with regulatory and organizational standards. The position collaborates across domains to optimize data integration, storage, and transformation with modern cloud and big data technologies, and supports innovation in data architecture and automation to enable actionable insights aligned with organizational strategies and operational goals. The GDF team manages and delivers high-quality data assets by establishing standards and ensuring policy compliance. It develops scalable, cloud-native data pipelines and self-service tools to improve data utilization, support business growth and innovation, and provide reliable data solutions to stakeholders.

Requirements

Extensive experience in data engineering, including data integration, modeling, and pipeline development.
Proficiency in SQL, Python, Apache Spark, and Apache Airflow.
Strong knowledge of data governance, data quality standards, and data management practices.
Expertise in cloud platforms such as Google Cloud Dataproc, BigQuery, and Databricks environments.
Ability to design and optimize data warehouses, data lakes, and enterprise data platforms.
Skill in translating business requirements into data architectures and solutions.
Experience with DevOps practices for data infrastructure deployment and maintenance.
One of the following: 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.
Two 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 3 years of experience in software engineering.
Knowledge of creating inclusive digital experiences, implementing WCAG 2.2 AA standards, using assistive technologies, and integrating digital accessibility in line with Walmart accessibility standards and guidelines.

Responsibilities

Design, develop, and maintain scalable data pipelines and infrastructure for business analytics and reporting.
Integrate and transform data from internal and external sources using ETL and streaming techniques.
Develop and optimize data models while ensuring data quality, governance, and compliance with organizational standards.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Implement and monitor data ingestion processes using cloud platforms and big data technologies.
Write, test, and deploy efficient code using SQL, Python, and Apache Spark.
Identify opportunities to improve data systems and workflows.

Benefits

Competitive pay and performance-based bonus awards.
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 that may be used for vacation, sick leave, holidays, or other purposes.
Live Better U education benefit for eligible associates, with tuition, books, and fees paid for qualifying programs.