Position Summary…

What you’ll do…

* Immigration sponsorship support will NOT be available for this position *

Job Description We are looking for a Data Engineer with backend development experience and a growth mindset to join our Data and Customer Analytics (DCA) team. Our engineers combine creativity, curiosity, and determination to deliver impactful solutions. As a key member of the Data team, you will be responsible for a wide range of analytics features, initiatives, and enhancements within the Supply Chain data domain. If you thrive in a dynamic environment where you can design, implement, and continuously improve critical features, this is the opportunity for you.

About the Team Everyone has data, but the sheer volume of data at Walmart is virtually limitless. The Data Engineering team helps Walmart manage this data by building scalable pipelines and data lakes that prepare large datasets for analysis and unlock actionable real‑time insights. We leverage cross‑functional data and machine learning to create a holistic view of profitability, driving millions of dollars in savings across product categories and geographies while enabling leadership to make faster, more informed decisions.

Data Transformation and Integration

- Extract data from identified databases and source systems.
- Create scalable data pipelines and transform data into structures that support business and analytical requirements using appropriate techniques.
- Stay current with emerging analytics and data engineering trends.

Data Source Identification

- Support the prioritization of business requirements and service‑level agreements (SLAs).




- Identify the most suitable data sources that are fit for purpose.
- Perform initial data quality checks on extracted data.

Data Modeling

- Analyze complex data elements, systems, data flows, dependencies and relationships to contribute to conceptual, logical, and physical data models.
- Develop logical and physical data models, including data warehouse and data mart designs.
- Define relational tables, primary and foreign keys, and stored procedures to support robust data structures.
- Evaluate existing data models and databases for inconsistencies and improvement opportunities.
- Design efficient data flows and resolve data integration challenges.

Code Development and Testing

- Develop solutions and application features using appropriate programming languages and technologies.
- Translate business, technical, and data requirements into scalable software solutions.
- Create proof‑of‑concepts, test cases, and validation plans.
- Perform testing, deployment, and production support activities.
- Maintain code documentation, playbooks, and provide timely project updates.

Applied Business Acumen

- Partner with business stakeholders to solve complex business problems through data‑driven recommendations.




- Develop business cases that identify expected ROI and cost savings.
- Translate business requirements into actionable projects, activities and deliverables aligned with strategic objectives.
- Serve as a liaison between business and technical teams to deliver practical solutions.
- Recommend new processes and ways of working to improve efficiency and effectiveness.

Architecture and Data Governance

- Participate in designing data application architectures alongside senior architects.
- Establish, implement and document data governance standards and recommendations.
- Interpret company and regulatory data policies and ensure compliance.
- Educate stakeholders on data governance processes, policies and best practices.
- Recommend enhancements to data governance frameworks when needed.

Leadership and Collaboration

- Demonstrate technical expertise and apply it to the development, execution and continuous improvement of action plans.
- Support initiatives that align with customer and business needs while building consensus among stakeholders.
- Build strong partnerships across cross‑functional teams.
- Identify business needs and execute appropriate processes and solutions.
- Promote Walmart’s policies, procedures, mission, values and ethical standards.
- Evaluate the effectiveness of programs and initiatives and identify opportunities to improve efficiency and cost‑effectiveness.
- Support community outreach initiatives and company‑sponsored events.

Data Engineering Responsibilities

- Create and maintain optimal data pipeline architectures.
- Develop standardize

📌 (USA) Data Engineer III (Argentina)
🏢 Walmart
📍 Argentina