Principal Data Engineer

Walmart

Quick summary

Work type: On-site
Location: Seattle, WA
Posted: 1 day ago
Closes: Jul 15, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $180k

$134k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $147,325–$213,000.

Based on 240 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 350 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 328 roles with salary data.

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At a glance

TL;DR · Principal Data Engineer

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As a Principal Data Engineer at our Seattle office, you will join a dynamic team of experts focused on building scalable and efficient data solutions. Your primary responsibilities include designing and implementing complex data pipelines using Apache Spark and PySpark, developing ETL workflows with Apache Airflow, and maintaining robust data lakes on AWS. You will also mentor junior engineers, conduct code reviews, and ensure the quality and integrity of data through continuous monitoring and alerting. Key skills required are proficiency in Python for data engineering tasks, experience with Snowflake and Databricks for data warehousing, and expertise in CI/CD tools like GitHub Actions and Terraform. Additionally, you will contribute to cost optimization strategies and lead architectural design initiatives across teams, addressing critical business problems through innovative technology solutions.

Skills

ApacheSpark PySpark AWS ApacheAirflow SQL Snowflake Databricks Python GitHubActions Terraform CI/CD MonteCarlo AWSCloudWatch CostOptimization ResourceTagging DataQualityMonitoring CodeReviews DataArchitectureDesign

What you'll do

Defines and identifies suitable data sources for requirements.
Builds infrastructure for optimal transformation and integration of diverse data sources.
Automates common data preparation tasks using modern tools and techniques.
Deploys pipelines using scheduling frameworks like Apache Airflow.
Evaluates impacts of data issues early in the development process.

What we're looking for

5+ years of experience in software engineering, data engineering, or related field.
Bachelor’s degree in Computer Science, Software Engineering, or equivalent.
Expertise in designing and implementing data pipelines with Apache Spark and PySpark.
Proficiency in building and maintaining AWS-based data lakes and ETL workflows using Apache Airflow.
Strong skills in SQL query writing, performance tuning, and data modeling solutions (Snowflake, Databricks).
Experience programming Python for data engineering tasks and using CI/CD tools like GitHub Actions and Terraform.

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