Data Engineer @ Bentonville, AR

Job Description

Job Title:
Data Engineer

Location: Bentonville, AR

Duration: 4+ Months

Job Type: Contract

Job Description: We are looking for an experienced GCP Data Engineer with 5-8 years of hands‑on experience to join our team. The ideal candidate will have extensive practical knowledge in SQL, Python, data modeling, and solving complex ETL/ELT challenges. In this role, you will actively design, develop, and maintain data pipelines and architectures within Google Cloud Platform (GCP) to support data‑driven decision‑making.

• Data Modeling:
  Create and maintain data models and schemas to support business intelligence and reporting needs. Ensure data integrity and consistency across various sources.
• Design, build, and manage scalable data pipelines and ETL/ELT processes using GCP tools such as Big Query, Dataflow, Dataproc, and Pub/Sub.
• Write efficient and complex SQL queries for data extraction, transformation, and analysis. Optimize query performance for large datasets.
• Develop Python scripts and applications for data processing, automation, and integration with GCP services.
• Troubleshoot and resolve data‑related issues, ensuring data accuracy and performance. Implement best practices for data management and optimization.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Maintain comprehensive documentation for data pipelines, models, and processes. Ensure clear communication of technical concepts to non‑technical stakeholders.

• Bachelor's degree in Computer Science, Data Engineering, Mathematics, or a related field. Advanced degree is a plus.
• 5‑8 years of hands‑on experience as a Data Engineer, particularly with GCP services and tools. Extensive practical experience in SQL and Python is essential.

• Proficiency in SQL for querying and managing large datasets.
• Strong programming skills in Python for data processing and automation.
• Experience with GCP services such as Big Query, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Expertise in data modeling and designing data architectures.
• Solid understanding of ETL/ELT processes and best practices.
• Problem‑solving:
  Demonstrated ability to tackle complex data problems and implement effective solutions.
• Communication:
  Good verbal and written communication skills. Ability to convey technical information to a non‑technical audience.

• Experience with other cloud platforms (e.g., Azure) is a plus.
• Familiarity with data visualization tools (e.g., Looker, Power BI) is advantageous.

• Project:
  Sam's Merchandising Application Data Engineering.
• This will be augmented to Data science and Analytics team in Product Ops.