(USA) Principal, Data Engineer

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $110,000–$220,000 / yr
Posted: 12 days ago
Nearby: 98 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $165k

$97k most similar roles pay here $233k

This role pays less than 54% of similar roles. Most pay $139,200–$211,200 — the shaded band above. At the midpoint, this role pays about $165k versus about $175k for comparable roles.

Based on 239 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 190 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 182 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Principal, Data Engineer

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The Principal Data Engineer will lead the People Data Platform team within Corporate Tech Services, focusing on managing comprehensive HR-related data across multiple markets. This role involves designing and implementing advanced data integration solutions using ETL and streaming techniques to support business objectives, ensuring high-quality, scalable data assets. Day-to-day responsibilities include building and optimizing data models on cloud platforms like Google BigQuery, establishing data governance practices, and mentoring team members in best engineering practices. The ideal candidate has extensive experience in data engineering with proficiency in SQL, Spark, Python, Java, and familiarity with Google Cloud tools. They should also have a strategic mindset to align data strategies with organizational goals while maintaining regulatory compliance.

Skills

GoogleBigQuery GoogleCloudDataproc ETL SQL Spark Python Java DataModeling DimensionalDesign EntityRelationshipDiagrams DataGovernance RegulatoryCompliance CI/CD AWS Azure Kubernetes Terraform Docker Git Jenkins

What you'll do

Lead the design and development of advanced data integration and modeling solutions to support business objectives.
Develop scalable data pipelines using ETL and streaming techniques on cloud platforms like BigQuery.
Establish and enforce data governance practices aligned with regulatory standards.
Mentor team members in best practices for data engineering and technical guidance.
Translate complex business requirements into effective data strategies and solutions.
Build and optimize data models across various cloud platforms to ensure high-quality, scalable infrastructure.

What we're looking for

Extensive experience in data engineering, including ETL and streaming techniques
Proficiency in SQL, Spark, and cloud platforms like Google BigQuery
Strong knowledge of data modeling methodologies and dimensional design
Expertise in building scalable data infrastructure for structured and semi-structured data
Ability to evaluate data quality and implement regulatory-aligned governance practices
Proven skills in coding, testing, and troubleshooting with languages like Python or Java

Remote Hybrid

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Principal Data Engineer

McDonald’s Corporation

Chicago, Illinois 21 days ago $195,371–$244,214

GCP Airflow Python Kubernetes Terraform PostgreSQL Docker CI/CD Prometheus Grafana Apache Kafka Spark Snowflake Git Jenkins GraphQL REST Swagger OAuth JSON SQL

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