Manager, Data Engineering - Workforce Intelligence at Walmart

Position Summary...

What you'll do...

About the role 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.Key responsibilities

• 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.

What you’ll do

• Build and maintain production-grade data pipelines and curated datasets using Python, SQL, and Airflow.
• Partner with stakeholders to clarify objectives, define requirements/SLAs, and translate needs into actionable technical work.
• Perform data validation and quality checks; troubleshoot issues and improve reliability and observability.
• Contribute to data modeling efforts that support analytics and reporting use cases.
• Follow engineering best practices (version control, code review, testing, documentation) and support compliant, well-governed data usage.

What you’ll bring

• 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).

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. 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.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

• Stock

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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 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.

Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

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, tensorflow, torch)

Primary Location...

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

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no 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.