(USA) Staff, Data Engineer
About The Position
As a Staff Data Engineer at Walmart, you will design and implement scalable data solutions aligned with business strategies and regulatory requirements. You will translate complex business needs into data architectures, ensure data quality, governance, and integration across platforms, lead data pipeline development, optimize data models, and collaborate with cross-functional teams to deliver actionable insights. The role supports enterprise-wide data initiatives while maintaining ethical and security standards. The team provides final guidance hours to Walmart US Hourly Associates and develops systems that support this process. It analyzes hours, budget constraints, labor standards, and volume forecasts. Working with Real Estate, Merchandising Operations, Central Operations, and Global Technology, the team helps ensure personnel are in the right place at the right time. It uses data engineering, process mapping, and advanced analytics to improve workforce planning and operational efficiency.
Requirements
- Bachelor’s degree in Computer Science and 6 years’ experience in software engineering or a related field; or 8 years’ experience in software engineering or a related field; or a master’s degree in Computer Science and 4 years’ experience in software engineering or a related field.
- 5 years’ experience in data engineering, database engineering, business intelligence, or business analytics.
- 2 years’ supervisory experience.
- Expertise in data engineering, including data modeling, transformation, and integration using SQL and cloud platforms such as Google BigQuery.
- Strong understanding of business context across multiple domains and ability to translate requirements into effective data solutions.
- Experience designing and deploying scalable data pipelines and automation for data preparation and processing.
- Knowledge of data governance principles, including data quality, privacy, and regulatory compliance.
- Proficiency in algorithm design and applying advanced analytical techniques to solve complex business problems.
- Ability to develop and maintain comprehensive data documentation and metadata management.
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.
- Master’s degree in Computer Science or a related field and 6 years’ experience in software engineering.
- Supervisory experience.
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices, including integrating accessibility into digital products and services.
Responsibilities
- Translate complex business requirements into scalable data engineering solutions aligned with organizational strategy.
- Design, develop, and maintain data pipelines and architectures using SQL, Google BigQuery, and other relevant technologies.
- Implement data governance practices to support compliance with regulatory and ethical standards.
- Collaborate with cross-functional teams to identify, source, and integrate data sets for analysis and reporting.
- Optimize data transformation, integration, and storage processes to support business insights and decision-making.
- Lead code development, testing, and troubleshooting to ensure high-quality, reliable data solutions.
- Stay current with emerging data engineering trends and tools to improve system performance and scalability.
- Develop and maintain comprehensive data documentation and metadata management.
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, 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 eligible tuition, books, and fees paid by Walmart.
- Stock may be additional compensation for certain positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
