Manager, Data Engineering - Workforce Intelligence

Walmart•Bentonville, AR

5d•Onsite

About The Position

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.

Requirements

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: BigQuery preferred (Snowflake, Redshift, or similar acceptable).
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Masters 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

Nice To Haves

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)

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.
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.

Benefits

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 (Walmart-paid education benefit program for full-time and part-time associates)