Senior Data Engineer — Catalog Solutions Strategist

Walmart; Bentonville (AR); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase program

Paid time off including holidays

Job summary

Walmart in Bentonville, AR seeks a Senior Data Engineer / Data Strategist to shape data quality and usability across item data, classifications, and supply chain signals. You will work across stakeholders to identify gaps and drive practical improvements through analysis and prototyping with engineering teams.

This hands-on role blends data, business context, and execution, translating findings into actions and prioritizing work to scale enhancements for downstream teams and real workflows.

Qualifications

• Bachelor’s degree in a relevant field or equivalent practical experience.
• 4+ years in data engineering, analytics, data strategy, or related roles.
• Strong SQL and ability to work with complex data to validate logic.
• Experience translating business questions into structured analysis and recommendations.
• Experience collaborating across business, product, engineering, and analytics teams.

Responsibilities

• Lead how Catalog Solutions improves data quality and usability for business needs.
• Identify gaps, define improvements, and translate findings into actions.
• Prototype first, then scale enhancements with engineering and platform teams.
• Ensure outputs are usable across downstream teams and real workflows.
• Bring structure to cross-functional work where ownership is unclear.

Skills

Data engineering

Analytics

Data strategy

SQL

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Tools

ETL tools

Job description

Walmart in Bentonville, AR seeks a Senior Data Engineer / Data Strategist to shape data quality and usability across item data, classifications, and supply chain signals. You will work across stakeholders to identify gaps and drive practical improvements through analysis and prototyping with engineering teams.

This hands-on role blends data, business context, and execution, translating findings into actions and prioritizing work to scale enhancements for downstream teams and real workflows.