Manager, Data Engineering - Workforce Intelligence

Position Summary

We are seeking a Data Engineer to build and maintain scalable, reliable data solutions that enable analytics and data-driven decision‑making. In this role, you will partner with cross‑functional stakeholders to translate business needs into well‑designed data pipelines, curated datasets, and governed data models. The ideal candidate combines strong engineering fundamentals with clear communication, ownership, and a commitment to data quality.

• Design, develop, and operate data pipelines using appropriate ingestion and transformation patterns.
• Identify and validate data sources; perform initial data quality checks and ensure data is fit for purpose.
• Design and evolve logical and physical data models to support analytics and reporting.
• Translate business needs into technical requirements and data solutions; document assumptions, dependencies, and success criteria.
• Implement and support data governance practices in partnership with stakeholders.
• Write, test, and deploy code; create test cases and proofs of concept; maintain documentation and operational runbooks.
• Collaborate effectively across engineering, product, and business teams; provide timely status updates and proactively surface risks.

• Strong ability to ask clarifying questions, align on scope, and communicate progress, risks, and tradeoffs.
• Demonstrated ownership: able to start independently, prioritize effectively, and escalate when blocked.
• High attention to detail and a quality‑first mindset.
• Intermediate to advanced SQL (querying, optimization, and data validation).
• Intermediate Python for data engineering, automation, and maintainable code.
• Experience with Airflow (authoring, scheduling, and operating DAGs).
• Intermediate Git experience and comfort working on teams using version control and code review.
• Experience incorporating business context into data engineering decisions and solution design.
• Cloud experience: GCP preferred (AWS or Azure acceptable).
• Data warehouse experience:
  Big Query preferred (Snowflake, Redshift, or similar acceptable).

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years’ experience in an analytics related field.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years’ experience in an analytics related field.
• 6 years’ experience in an analytics or related field.
• As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines or secure approval of medical or religious accommodation for the vaccination mandate.

• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Using open source frameworks (for example, scikit learn, tensor flow, torch).

702 Sw 8th St, Bentonville, AR 72716, United States of America

The annual salary range for this position is $90,000.00 - $. Additional compensation includes financial bonuses.

Walmart, Inc. is an Equal Opportunity Employer. We are committed to maintaining a drug‑free workplace and have a zero tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.