This role pays more than
64%
of similar roles. Most pay
$135,000–$198,800
— the shaded band above.
At the midpoint, this role pays about
$176k
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.
As a Senior Data Engineer on Walmart US Decision Sciences team, you will design, develop, and maintain scalable data pipelines and architectures to support business analytics and operational needs. You will integrate and transform data from various sources using ETL, streaming, and batch processing techniques while ensuring data quality and governance compliance. Collaborating with cross-functional teams, you will translate complex business requirements into effective data solutions and models, optimizing data workflows through efficient SQL and Python code development. Additionally, you will support ML/AI platforms to enable decision intelligence by leveraging modern cloud platforms like Snowflake or Azure for scalable data warehouse solutions. This role demands expertise in data engineering within big data environments, proficiency in SQL and programming languages such as Python or Java, and a strong understanding of data governance principles and regulatory compliance.
SQL
Snowflake
Azure
Google BigQuery
Apache Airflow
ETL
Data Governance
Cloud-Based Data Platforms
Data Modeling
CI/CD
Automation Tools
Analytics
Large Data Sets
Python
SQL
Scala
Java
ETL
ELT
Data Processing
Data Retrieval
Data Parsing
Enterprise Scale Applications
Complex Data Applications
Reporting and Analytics
Cloud Services
CI/CD