Senior Data Engineer: Scalable ETL & Analytics

Walmart Inc.; Bentonville (AR); Hybrid; USD 110,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Stock purchase program

Paid time off

Job summary

Walmart Inc. is seeking a Data Engineer III in Bentonville to design and build scalable data pipelines, models, and governance processes. You will work with cross-functional teams to transform data into actionable insights, develop ETL solutions, and optimize Spark workloads in cloud environments.

The role emphasizes data quality, governance, and timely delivery of analytics-ready data while supporting and guiding less experienced team members.

Qualifications

• Master's or Bachelor's degree in CS/Engineering with required experience.
• Strong background in data analytics, data modeling, and ETL design.
• Experience building scalable data pipelines and data governance awareness.

Responsibilities

• Identifies analytics options and addresses business problems via data analytics and automation.
• Owns delivery of project activities and tasks assigned by others.
• Develops data pipelines and transforms data for problem-specific use.
• Builds and tunes Spark applications for performance and cost efficiency.
• Designs relational data models and data warehouses/datamarts.
• Creates test cases, proofs of concept and documentation.
• Oversees junior developers and provides guidance.

Skills

Requirements analysis

Data pipelines/ETL

Python/Scala

Python scripting

ETL frameworks

Spark optimization

Cloud data pipelines

Workflow orchestration

CI/CD

SQL development

Data modeling

Education

Master's degree in Computer Science/Engineering

Bachelor's degree in Computer Science/Engineering with 2 years experience

Tools

Spark

Hadoop

Hive

Azure Databricks

Azure Data Factory

GCP Dataproc

BigQuery

Apache Airflow

GitHub

Jenkins

JFrog/Artifactory

SQL

Job description

Walmart Inc. is seeking a Data Engineer III in Bentonville to design and build scalable data pipelines, models, and governance processes. You will work with cross-functional teams to transform data into actionable insights, develop ETL solutions, and optimize Spark workloads in cloud environments.

The role emphasizes data quality, governance, and timely delivery of analytics-ready data while supporting and guiding less experienced team members.