About the Role:

We are seeking a highly motivated Sr. Data Engineer to join our growing team. In this role, you will play a critical part in designing, building, and scaling our next-generation data and analytical platform for advertising systems. You will be a key technical member in driving innovation and ensuring we deliver a robust and scalable platform that empowers data-driven decisions across the organization. This role involves working with cutting-edge open-source technologies on cloud platforms like GCP and Azure.

What You Will Do:

• Assist in designing and implementing high-performance data pipelines and ETL processes for large-scale advertising data.
• Develop and maintain data infrastructure and platforms using open-source technologies, ensuring scalability, reliability, and security.
• Collaborate with data scientists to build and deploy machine learning models that generate insights and recommendations for optimizing advertising campaigns.
• Work closely with stakeholders to understand business requirements and translate them into technical solutions.
• Champion data quality, governance, and best practices across the organization.
• Stay abreast of industry trends and emerging technologies, identifying opportunities to enhance our data and analytical capabilities.
• Contribute to the development and evolution of our data strategy and roadmap.

What You Will Bring:

• Deep understanding of data warehousing concepts, dimensional modeling, and ETL best practices.
• Strong proficiency in SQL and at least one scripting language like Python or Java.
• Hands-on experience with open-source big data technologies such as Hadoop, Spark, Kafka, and Hive.
• Experience with cloud platforms like GCP or Azure, including their data storage, processing, and analytics services.
• Familiarity with data modeling tools and techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.
• Passion for data and a strong desire to solve complex problems.
• Experience with advertising systems and data a plus.
• Experience with machine learning and data science concepts is a plus.

Preferred qualifications:

• Advanced degree in data science, computer science, statistics, operation research, or related fields
• 5+ years of experience in data engineering, with a proven track record of building and scaling data-intensive applications.

Bonus Points:

• Experience with data visualization tools (e.g., Tableau, Looker)
• Experience with data governance and data privacy best practices
• Experience with real-time data processing and streaming technologies

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 $117,000.00-$234,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

- Stock

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 3 years' experience in software engineering or related field. Option 2: 5 years' experience in
software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related
field.
2 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 3 years' experience in software engineering, 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...

680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America