- Salary
- $90k – $180k
- Location
- (USA) Upstream Building AR Bentonville Home Office, United States of America
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- Master
- Closing date
- Today
- Source
- Workday
Description
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.
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
ㅤ
ㅤ
ㅤ
ㅤ
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 insoftware 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 experienceMasters: Business Administration, Masters: Computer Engineering, Masters: Computer Science