(USA) Data Engineer III

Walmart•Bentonville, AR

3d•$90,000 - $180,000

About The Position

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. You will use data modeling, integration, and transformation expertise to ensure data quality, accessibility, and compliance with regulatory standards. The role involves collaborating across business domains to translate complex requirements into effective data solutions, advancing data governance practices, and supporting enterprise data strategies. The External Data Engineering team integrates and transforms extensive external datasets to support strategic data intelligence. The team develops scalable pipelines, applies advanced data modeling, and uses technologies such as Apache Spark and cloud platforms to deliver high-quality, governed data solutions. Collaboration, continuous learning, and innovation support robust data governance, security, and compliance while enabling data-driven decisions. The annual salary range is $90,000 to $180,000. Additional compensation includes annual or quarterly performance bonuses, and certain positions may also include stock. Walmart describes benefits including medical, vision, and dental coverage; 401(k); stock purchase; company-paid life insurance; paid time off; parental and family care leave; bereavement, jury duty, and voting leave; short- and long-term disability; company discounts; Military Leave Pay; adoption and surrogacy expense reimbursement; and the Live Better U education benefit program. Benefit eligibility and amounts may depend on job classification and length of employment, and benefits are subject to applicable terms.

Requirements

Extensive experience in data engineering across multiple platforms.
Strong proficiency in Scala and Spark for data processing, analytics, and scalable pipeline development.
Practical experience with Google Cloud Platform services such as BigQuery, GCS, and Dataproc.
Experience with near real-time data ingestion using Kafka and Spark Structured Streaming.
Strong working knowledge of SQL and NoSQL systems and in-depth understanding of data warehousing concepts and best practices.
Proficiency in Git/version control, CI/CD pipelines, workflow schedulers such as Airflow, and working with large-scale datasets.
Option 1: Bachelor’s degree in Computer Science and 2 years of experience in software engineering or a related field.
Option 2: 4 years of experience in software engineering or a related field.
Option 3: Master’s degree in Computer Science.

Nice To Haves

Familiarity with BI or visualization tools such as Tableau or Looker.
Hands-on exposure to Generative AI (GenAI) and Agentic AI.
Experience in data engineering, database engineering, business intelligence, or business analytics.
Master’s degree in Computer Science or a related field and 2 years of experience in software engineering or a related field.
Knowledge of creating inclusive digital experiences, implementing WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes for business analytics and reporting.
Collaborate with cross-functional teams to identify data requirements and translate them into effective data models and solutions.
Implement data integration and ingestion strategies using cloud and big data technologies such as Apache Spark and data lakes.
Ensure data quality, governance, and regulatory compliance throughout the data lifecycle.
Optimize data storage, transformation, and retrieval processes for performance and scalability.
Develop and test code for data processing, and support deployment and documentation.
Stay current with data engineering trends and best practices to drive continuous improvement.

Benefits

Medical, vision, and dental coverage.
401(k).
Stock purchase.
Company-paid life insurance.
Paid time off, including sick leave; PTO and/or PPTO may also be used for vacation, holidays, or other purposes.
Parental leave and family care leave.
Bereavement, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Live Better U paid education benefit program for eligible full-time and part-time associates.
Annual or quarterly performance bonuses.
Stock may be additional compensation for certain positions.