Position Summary...
What you'll do...
Role summary:
Join Walmart as a Senior Data Engineer and leverage your expertise in data integration, modeling, and governance to support the company's data strategy and business objectives. This role involves designing and developing scalable data pipelines, ensuring data quality, and enabling actionable insights through effective data management. You will collaborate across functions to translate complex business requirements into robust data solutions, applying advanced techniques and tools within cloud and big data environments. Your contributions will drive data-driven decision-making and support Walmart's commitment to operational excellence and innovation.
About the team:
The Merch Decision Sciences (MDS) team builds strong data foundations and analytical frameworks to support scalable decision-making. MDS manages the full data lifecycle to improve merchandising outcomes by defining metrics, delivering data products, developing analytical models, and enabling automation and applied AI. Combining data stewardship with analytics, the team accelerates execution while maintaining business @context. Serving as a key data partner for Merchandising stakeholders, MDS drives insights that influence critical business metrics and support strategic decisions, ensuring data integration, governance, and modeling align with organizational goals.
What you'll do:
Design, develop, and maintain scalable data pipelines and architectures to support business analytics and reporting needs.
Integrate and transform data from internal and external sources using ETL and streaming techniques.
Develop and optimize data models, ensuring data quality, governance, and compliance with regulatory standards.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Implement and enforce data governance policies to maintain data integrity and security.
Write, test, and deploy efficient code using SQL and other programming languages to support data workflows.
Monitor and troubleshoot data systems to ensure high availability and performance.
What you'll bring:
Extensive experience in data engineering, including data integration, modeling, and governance within complex environments.
Proficiency in SQL and familiarity with cloud and big data platforms such as Snowflake, Azure, or Google BigQuery.
Strong knowledge of data strategy, data quality standards, and data ecosystem management to support business insights and decision-making.
Ability to develop and optimize data pipelines using ETL, streaming ingestion, and API techniques.
Skilled in creating logical and physical data models, ensuring scalability and performance.
Experience in coding, testing, and deploying data solutions using appropriate programming languages.
Understanding of regulatory and ethical requirements related to data privacy, security, and governance.
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 (https://one.walmart.com/) .
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 :
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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: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in
software engineering or related field. Option 3: 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.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master's degree in Computer Science, Engineering, Business Administration, or related area and 12 years' experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products, Supervisory experience
Masters: Business Administration, Masters: Computer Engineering, Masters: Computer Science
Primary Location...
1601 SE 10th 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.
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
