Data Engineer III

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $90,000–$180,000 / yr
Posted: 6 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 $226k

This role pays less than 74% of similar roles. Most pay $135,000–$199,900 — 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 290 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 282 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Data Engineer III

Role Posting Log in to save

As a Data Engineer III on Walmart’s External Data Engineering team, you will design, develop, and maintain scalable data pipelines and architectures to support business analytics and decision-making. Your responsibilities include collaborating with cross-functional teams to identify data requirements, implementing data integration strategies using Apache Spark and cloud platforms like Google Cloud Platform (GCP), ensuring data quality and compliance, and optimizing storage and retrieval processes for performance. You will also develop and test code for data processing, stay current with emerging trends, and contribute to advancing data governance practices. The role requires strong proficiency in Scala and Spark, experience with GCP services such as BigQuery and Dataproc, knowledge of SQL and NoSQL systems, and familiarity with CI/CD pipelines and workflow schedulers like Airflow. Experience with Generative AI (GenAI) is a plus.

Skills

Apache_Spark Google_Cloud_Platform BigQuery GCS Dataproc Kafka Spark_Structured_Streaming SQL NoSQL Data_Warehousing Git CI/CD Airflow Tableau Looker Scala Python BI/Visualization Generative_AI Agentic_AI

What you'll do

Design, develop, and maintain scalable data pipelines to support business analytics.
Implement data integration strategies using cloud and big data technologies like Apache Spark.
Ensure compliance with regulatory standards for data governance and quality.
Optimize data storage and retrieval processes for enhanced performance and scalability.
Develop and test code for data processing, supporting deployment efforts.

What we're looking for

Extensive experience in data engineering across multiple platforms.
Proficiency in Scala and Spark for building scalable data pipelines.
Practical experience with Google Cloud Platform (GCP) services and real-time data ingestion tools.
Strong knowledge of SQL, NoSQL systems, and data warehousing concepts.
Familiarity with Git, CI/CD pipelines, workflow schedulers like Airflow, and large-scale datasets.
Experience in data governance, quality assurance, and regulatory compliance.

Hybrid

Save

Data Engineer III

JPMorgan Chase

London, United Kingdom 4 days ago

Python PySpark dbt Apache Airflow Terraform Docker Kubernetes AWS SQL Airflow Kafka CI/CD Spark Trino Helm

Save