Logistics Data Engineer (Springdale, AR Terminal Office)

The Data Engineer advances by incorporating data architecture principles to design and propose data solutions that may require architecture reviews. They have a solid understanding of data pipeline orchestration, including developing solutions that manage data flow sequences with appropriate monitoring.

Requirements

• Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.
• Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.
• Build, deploy, and support data visualization solutions that effectively communicate data insights.
• Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.
• Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.
• Enforce data governance policies and ensure compliance with data security standards.
• Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.
• Contribute to the development of data architecture and support data streaming initiatives.
• Implement basic data pipeline orchestration and assist in integrating big data technologies.
• Build strong business relationships by understanding processes, requirements, systems, and terminology.

Benefits

• Paid time off
• 401(k) plans
• Affordable health, life, dental, vision and prescription drug benefits