(USA) Senior, Data Engineer

Walmart

Quick summary

Work type: On-site
Location: Dallas, TXDenver, CO
Salary: $90,000–$180,000 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $135k

$75k most similar roles pay here $231k

This role pays less than 74% of similar roles. Most pay $135,000–$198,987 — the shaded band above. At the midpoint, this role pays about $135k versus about $167k for comparable roles.

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 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) Senior, Data Engineer

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As a Senior Data Engineer at Walmart, you will join a high-impact team building scalable data pipelines and models that drive critical business insights for advertising products. You’ll design and build robust data solutions using Databricks, PySpark, and SQL, ensuring quality, observability, and governance across multiple data sources. Your day-to-day involves orchestrating workflows with Airflow, automating CI/CD pipelines in GitHub Actions, and developing infrastructure with Terraform to optimize performance and cost on Google Cloud Platform. You’ll collaborate closely with Product, Data Science, and Engineering teams to deliver reliable, scalable, and efficient data systems that influence how advertisers measure success and new ad features evolve. This role demands expertise in cloud platforms, CI/CD practices, and a passion for integrating AI and LLMs into daily engineering tasks while maintaining simplicity and code maintainability.

Skills

Databricks PySpark SQL Airflow Terraform CI/CD Google Cloud Platform Python Data governance Data quality Machine learning GitHub Actions

What you'll do

Design and build scalable data pipelines using Databricks, PySpark, and SQL.
Integrate and transform complex datasets from multiple sources with quality assurance.
Automate workflows using Airflow and GitHub Actions for CI/CD processes.
Develop cloud infrastructure using Terraform to support DevOps tasks efficiently.
Optimize data pipelines for performance and cost across various cloud environments.

What we're looking for

Extensive experience in data engineering with scalable pipeline development.
Proficiency in SQL, Python, PySpark, Databricks, and Airflow for workflow orchestration.
Solid understanding of cloud platforms, particularly Google Cloud Platform.
Hands-on experience with CI/CD using GitHub Actions and Terraform for infrastructure automation.
Strong grounding in data governance, quality, and compliance best practices.
Ability to design resilient data architectures across warehouses, lakes, and streaming systems.

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