Data Engineer — Scalable Pipelines & Governance

Walmart; Bentonville (AR); On-site; USD 110,000 - 220,000; Full time

Benefits offered by this job

Health benefits

Live Better U

401(k) & Stock

Paid time off

Job summary

Walmart Inc. in Bentonville, AR is hiring a Staff Data Engineer to design scalable data solutions aligned with business strategies and regulatory requirements.

You will lead data pipelines, optimize data models, ensure data quality and governance, and collaborate across platforms to deliver actionable insights. Responsibilities include translating complex requirements into robust data architectures, implementing governance practices, and driving enterprise data initiatives with security

Qualifications

• Translate complex business needs into scalable data architectures.
• Design, develop, and maintain data pipelines and architectures using SQL and BigQuery.
• Implement data governance practices ensuring regulatory and ethical compliance.

Responsibilities

• Translate complex business requirements into scalable data engineering solutions.
• Design, develop, and maintain data pipelines and architectures using SQL, BigQuery, and other relevant technologies.
• Implement data governance practices ensuring compliance with regulatory and ethical standards.
• Collaborate with cross-functional teams to source and integrate data sets for analysis.
• Lead code development, testing, and troubleshooting to ensure high-quality data solutions.
• Stay current with emerging data engineering trends and tools to enhance performance.

Skills

Data engineering

SQL

BigQuery

Data modeling

Governance

Analytics

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Cloud platforms (GCP)

ETL tools

Job description

Walmart Inc. in Bentonville, AR is hiring a Staff Data Engineer to design scalable data solutions aligned with business strategies and regulatory requirements.

You will lead data pipelines, optimize data models, ensure data quality and governance, and collaborate across platforms to deliver actionable insights. Responsibilities include translating complex requirements into robust data architectures, implementing governance practices, and driving enterprise data initiatives with security