Join Walmart's People Data Engineering Team as a Data Engineer!

Are you ready to manage people data on a massive scale? Walmart is looking for talented individuals to join our People Data Engineering Team. With the responsibility of handling and utilizing consistent data across transactional and analytical systems, you'll play a crucial role in our operations.

About the Team

At Walmart, data is vast and limitless. Our Data Engineering team constructs pipelines and data lakes, preparing big data for analysis and enabling actionable insights in real time. Leveraging cross-departmental data and machine learning, we create a comprehensive view of true profitability, driving cost savings and aiding leadership in making faster, better decisions.

About Enterprise People Technology

The Enterprise People Technology team is pivotal in deploying and adopting new People technology across Walmart. As a Fortune #1 company, our impact spans millions of associates globally. We continually refine our technology to aid managers and associates in focusing on our primary goal—supporting our customers and members. This segment of Walmart Global Tech’s Enterprise Business Services encompasses finance, people, and the Associate Digital Experience.

Responsibilities

• Develop high-performance, scalable solutions for big data extraction, transformation, and loading.
• Design, build, test, and deploy cutting-edge data solutions at scale, impacting millions globally.
• Ensure data quality and governance standards for People Data applications.
• Collaborate with Walmart engineering teams worldwide to share expertise.
• Mentor junior data engineers and ensure data accuracy through validation and cleaning processes.

Qualifications

What You'll Bring

• Bachelor's/Master’s degree in Computer Science or related field.
• 8+ years of experience in big data technologies and data pipelines.
• Expertise in big data technologies such as Hadoop, Apache Spark (Scala preferred), Python, Apache Hive, and cloud platforms (GCP preferred, AWS, Azure).
• Proficiency in workflow orchestrators like Airflow and writing SQL (BigQuery or SPARK SQL preferred).
• Strong data modeling skills for designing adaptable schemas accommodating various data sources.

Preferred Qualifications

• Master’s degree in Computer Science or related field with 4 years' experience in software engineering or related field.
• Experience in data engineering, database engineering, business intelligence, or business analytics.
• Familiarity with Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.

About Walmart Global Tech

At Walmart Global Tech, one line of code can simplify life for millions. We are a team of engineers, data scientists, and service professionals leading retail disruption. Our innovative team is people-led and tech-empowered, providing opportunities for skill development and career growth. Whether you are beginning your tech journey or looking for a significant career milestone, Walmart Global Tech offers the platform to innovate and make a substantial impact.

Flexible, Hybrid Work

We adopt a hybrid work model that balances in-office collaboration with virtual work flexibility. This approach fosters quicker decision-making, overcoming location barriers and enhancing our personal lives.

Benefits

Walmart offers a competitive compensation package, including performance-based incentives, 401(k) match, stock purchase plan, paid maternity and parental leave, and multiple health plans. Additional benefits encompass short-term and long-term disability, company discounts, Military Leave Pay, and adoption/surrogacy expense reimbursement.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer—By Choice. We value diversity and inclusion, believing it enhances our ability to serve our associates, customers, and communities better. Understanding, respecting, and valuing diverse identities and experiences make us stronger as a company.

Minimum Qualifications

• Bachelor’s degree in Computer Science and 4 years' experience in software engineering, OR 6 years’ experience in software engineering, OR Master's degree in Computer Science and 2 years' experience in software engineering.
• 3 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Primary Location

508 SW 8th St, Bentonville, AR 72712, United States of America.