Data Engineer III

Walmart

Data Engineer III building governed pipelines and data architectures for Walmart, the world’s leading retailer. Supporting analytics, AI, and operational decisions across Real Estate, Energy, and Manufacturing.

Posted 8/5/2026full-timeBentonville • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data pipelines and ETL processes, with a strong focus on data quality, governance, and integration. Proficient in SQL, Apache Spark, and cloud platforms to support analytics and business decisions across various industries.

Highest-signal resume keywords

Data EngineeringETL ProcessesSQL ProficiencyApache SparkData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationPipeline DevelopmentData ModelingData Ingestion TechniquesBig Data TechnologiesProgramming LanguagesData Architecture DesignData LakesData WarehousesData Quality Frameworks

Tools & Technologies

Apache KafkaCloud-Based Data PlatformsDistributed Storage Systems

Industry Keywords

Data PrivacyData SecurityReal EstateEnergyManufacturing

Tech Stack

Tools & technologies

ApacheCloudETLJavaKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines and ETL processes for business analytics and reporting
Collaborate with cross-functional teams to identify data sources and ensure data quality, integrity, and governance compliance
Build and optimize data models, data lakes, and warehouses using SQL, Apache Spark, and cloud platforms
Implement data ingestion and integration solutions using Apache Kafka and distributed storage systems
Analyze complex data flows and propose improvements to system performance and data accessibility
Support deployment, testing, and documentation of data engineering solutions aligned with enterprise data strategy
Enable trusted, governed data supporting analytics, insights, AI, and business decisions for Real Estate, Energy, and Manufacturing data

Requirements

What you’ll need

Bachelor’s degree in Computer Science and 2 years' experience in software engineering or related field; or 4 years’ experience in software engineering or related field; or Master's degree in Computer Science
Extensive experience in data engineering, including data transformation, modeling, and pipeline development
Proficiency in SQL and programming languages such as Python, Java, or similar for code development and testing
Strong knowledge of ETL processes, data ingestion techniques, and big data technologies such as Apache Spark and Kafka
Understanding of data governance, data quality frameworks, and regulatory requirements related to data privacy and security
Ability to design and implement scalable data architectures, including data lakes and warehouses
Familiarity with cloud-based data platforms and modern data integration methods
Demonstrated capability to analyze complex data flows and develop efficient data models
Immigration sponsorship is not available for this position

Benefits

Comp & perks

Incentive awards for performance
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO
Multiple health plans
Training in future skillsets
Opportunities to gain new skills and experience
Equal Opportunity Employer commitment
Drug-free workplace