Data Engineer III
Data Science
USD 90k-180k / year + Equity
Posted on Jun 25, 2026
Position Summary...
What you'll do...
The Decision Science End-to-End (E2E) team serves Walmart Enterprise Operations. We collaborate across multiple business areas to accelerate data-driven decisions and build lasting analytical capabilities. Strong data foundations are at the core of how we work: we invest in getting the modeling, pipeline design, and data quality right, because everything our partners depend on is built on top of that layer. We are a lean team, and every member is expected to wear multiple hats. On any given week you might be identifying a new data source, building a pipeline, validating a data model, or walking a business partner through a result. We pride ourselves on full ownership and build partner relationships grounded in trust. Our partners count on us not just to deliver; we speak up when something needs to change, before they have to ask.Your Opportunity
We are seeking a talented and experienced Data Engineer III to join our team. The ideal candidate brings deep experience building reliable data pipelines, designing databases and data models, and transforming raw data into trusted, performant assets that business stakeholders depend on daily. You understand that strong data foundations are not a starting point you move past, they are what you protect and build on throughout your career. As part of Decision Science E2E, you will contribute across the full data lifecycle, from source identification and modeling to pipeline engineering and stakeholder communication. You will be challenged with complex, ambiguous business problems and collaborate with multiple stakeholders to solve them, gaining a unique perspective on what it takes to operate one of the world's largest retailers.Your Responsibilities
Data Foundations and Strategy
Understand, articulate, and apply the team's data principles to business problems spanning one or more functions. Champion strong data foundations by ensuring that the models, pipelines, and structures your team builds are correct, documented, and built to last. Help shape how data is governed, structured, and delivered across the areas we support.Data Transformation and Integration
Design and build end-to-end data pipelines. Extract data from diverse source systems, transform it into structures fit for analysis and reporting, and load it into targets that power downstream consumers. Stay current on analytics and data engineering trends and bring relevant improvements back to the team.Data Source Identification
Identify the most appropriate source for each data problem. Understand priority order of requirements and service level agreements. Perform initial data quality checks on extracted data and validate fitness for purpose before integration.Data Modeling
Analyze complex data elements, systems, data flows, dependencies, and relationships. Develop logical and physical data models including data warehouse and data mart designs. Define relational tables, primary and foreign keys, and stored procedures. Evaluate existing data models and physical databases for variances and discrepancies. Treat every model as a foundational artifact that will outlast any single project.Code Development and Testing
Write clean, well-tested, and documented production code. Create test cases, build proofs of concept, and deploy software to production. Maintain playbooks and provide timely progress updates to stakeholders.Versatility and Cross-Team Contribution
Wear multiple hats willingly and effectively. Step into gaps where the team needs coverage, whether that is validating a data source, supporting a partner presentation, helping QA a colleague's pipeline, or documenting a process that only lives in someone's head. On this team, ownership extends to what needs doing, not just what is assigned.Problem Formulation
Translate ambiguous business problems into concrete data or technical solutions. Identify the right method (analytics, big data, or automation), communicate the approach clearly, and share examples that demonstrate how the solution addresses the business need.Your Qualifications
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field; or 5+ years of hands-on Data Engineering experience in a production environment.
- SQL & Query Excellence: You hold SQL to an extremely high standard: writing performant, readable, well-structured queries and optimizing the work of others. You treat every query as production code. SQL is a core data foundation skill and you treat it accordingly.
- Relational Database Depth: Solid experience designing and working with relational databases (e.g., SQL Server, PostgreSQL, or equivalent). Schema design, indexing strategies, relationships, and stored procedures are second nature to you.
- Big Data & Cloud Platforms: Hands-on experience with large-scale data processing on a major cloud platform (e.g., GCP, or Azure). Familiarity with distributed query engines, object storage, and cloud-native data tools (e.g., BigQuery, Spark, Databricks, Hive, or equivalents).
- Pipeline Orchestration: Experience designing and maintaining scheduled, dependency-aware data workflows. Proficiency with orchestration tooling such as Airflow, dbt, SSIS, or similar, including retry logic, failure handling, and SLA monitoring.
- Programming: Proven track record building production-quality code in at least one programming language (e.g., Python, Java, Scala, C#, or equivalent). Code is clean, testable, and maintainable.
- Data Modeling & Migration: Skilled in translating business requirements into physical data models. Comfortable with data migration strategies, schema evolution, and integration design.
- Versatility and Range: Comfortable contributing across the full data lifecycle, not just one layer of the stack. You step into what needs doing, build context quickly in unfamiliar areas, and do not wait for a perfect handoff before moving work forward.
- Ownership Mindset: You hold yourself and your work to an extremely high standard. You proactively identify problems, drive solutions to completion, and take full accountability for what you ship, from source to dashboard.
- Communication & Collaboration: Highly effective at distilling complex data concepts for non-technical audiences. Skilled in negotiation, facilitation, and building consensus across teams you don't directly control. Strong presentation skills and the ability to influence without authority.
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: Bachelor’s degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years’ experience insoftware engineering or related field. Option 3: Master's degree in Computer Science.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
