Senior, Data Engineer, Data Strategist - Catalog Solutions

Walmart•Bentonville, AR

11d•$90,000 - $180,000•Onsite

About The Position

This role works across Catalog Solutions and partner teams to identify where product data, supply chain signals, and classification outputs are not fit for business use, and to turn those gaps into practical improvements. It combines hands-on analysis with cross-functional problem solving, helping drive better data accessibility, usability, and readiness through existing tooling, analytics, and platform teams. Catalog Solutions sits between core item data and the business processes that depend on it across merchandising, supply chain, stores, compliance, and related areas. We work on the shared capabilities that make product-linked data, classifications, supply chain signals, and decision outputs more usable, consistent, and actionable across the company. The team focuses on how these inputs and outputs are shaped, improved, and applied in real workflows. We partner closely with business, product, engineering, and analytics teams to make sure the work is practical, scalable, and connected to how the business actually operates. As Senior Data Engineer / Data Strategist, you will lead how Catalog Solutions improves the quality and usability of data and outputs the business depends on, including item-related data, classifications, supply chain signals, and decision outputs. This role sits in a strategy-oriented team, but it is hands-on where it needs to be. You will work across stakeholders and partner teams to understand where the current state is falling short, define what needs to improve, and help move that work forward. Some of that will involve direct analysis and discovery. Some of it will involve rapid prototyping and building while working with engineering and platform teams to shape and scale enhancements. This is a strong fit for someone who is comfortable moving between data, business context, and execution — someone who can investigate issues, bring structure to ambiguity, and help turn findings into practical improvements.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Supply Chain, Business Analytics, Economics, or related field, or equivalent practical experience.
4+ years experience in data engineering, analytics, data strategy, or related roles.
Strong SQL and comfort working directly with complex data to investigate issues and validate logic.
Experience translating business questions into structured analysis and actionable recommendations.
Experience working across business, product, engineering, and analytics teams.
Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field.
5 years’ experience in software engineering or related field.
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.

Nice To Haves

Experience in catalog, merchandising, supply chain, store operations, fulfillment, compliance, or similar operational domains.
Experience improving data quality, consistency, or usability in a business-facing environment.
Experience working in ambiguous spaces where requirements are not fully defined up front.
Strong problem-solving skills and the ability to connect detailed analysis to broader business needs.
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.

Responsibilities

Identify where data, classifications, supply chain signals, or decision outputs are not meeting business needs.
Work through source questions, logic questions, and usability gaps to clarify what should change.
Use SQL and targeted analysis to investigate issues, validate assumptions, and support decision-making.
Help translate findings into clear actions, priorities, and improvement plans.
Prototype first, then partner with engineering, platform, and business teams to scale enhancements.
Support efforts to make outputs more consistent, useful, and easier for downstream teams to rely on.
Bring structure to cross-functional work where ownership, requirements, or next steps are not yet clear.
The business has greater confidence in the data and outputs it relies on.
Important gaps are identified early and turned into practical improvements.
Data and decision outputs become easier to use across real workflows.
Cross-functional efforts move more smoothly because issues are better defined, prioritized, and fixed efficiently.

Benefits

competitive pay
performance-based bonus awards
medical coverage
vision coverage
dental coverage
401(k)
stock purchase
company-paid life insurance
PTO (including sick leave)
parental leave
family care leave
bereavement
jury duty
voting
short-term disability
long-term disability
company discounts
Military Leave Pay
adoption and surrogacy expense reimbursement
PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
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.