Staff Data Engineer — Scale Pipelines & Lakehouse

Walmart; Bentonville (AR); On-site; USD 140,000 - 180,000; Full time

Job summary

Walmart is seeking a Staff Data Engineer in Bentonville, AR to design scalable data solutions and governance while translating complex requirements into robust data models and pipelines. The successful candidate will work with the APEX Data and Architecture team to advance cloud-based architectures and data quality across multiple domains.

The role emphasizes hands-on development with PySpark, Airflow, and GCP Dataproc, along with strong data modeling and federation through GraphQL.

Qualifications

• Bachelor’s degree in Computer Science or related field with 5+ years of experience in software/data engineering.
• Experience with PySpark, Airflow and Google Cloud Platform services (Dataproc).
• Strong knowledge of data modeling, data lakehouse architectures and data warehousing.

Responsibilities

• Translate complex business requirements into scalable data engineering solutions aligned with organizational strategy.
• Design, develop, and maintain data pipelines and workflows using PySpark, Airflow, and Google Cloud Platform.
• Implement data modeling techniques to support data warehousing, lakehouse architectures, and ensure data quality and security.
• Collaborate with stakeholders to identify data sources and perform data integration, transformation, and validation.
• Apply data governance policies and ensure regulatory and ethical standards compliance.
• Monitor and troubleshoot data processes to optimize performance and reliability.
• Provide guidance on best practices for data architecture and documentation.

Skills

PySpark

Airflow

Google Cloud Dataproc

Data modeling

Data lakehouse

Data warehousing

Federated GraphQL

Education

Bachelor’s degree in Computer Science or related field

Tools

Dataproc

Job description

Walmart is seeking a Staff Data Engineer in Bentonville, AR to design scalable data solutions and governance while translating complex requirements into robust data models and pipelines. The successful candidate will work with the APEX Data and Architecture team to advance cloud-based architectures and data quality across multiple domains.

The role emphasizes hands-on development with PySpark, Airflow, and GCP Dataproc, along with strong data modeling and federation through GraphQL.