Logistics Data Engineer (Springdale, AR Terminal Office)
About The Position
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. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment. Data Engineers work closely with cross-functional teams to evaluate data, develop reports, and provide actionable insights to drive efficiency and cost savings.
Requirements
- Bachelor’s or master’s degree in business, Analytics, Data Science, Supply Chain Management, or a related field preferred. 4 years of related experience may be acceptable.
- 1+ years relevant or practical experience.
- Proficiency in SQL, data visualization and basic ETL tools.
- Understanding of data warehousing concepts and basic data architecture.
- Familiarity with data pipeline orchestration and monitoring.
- Initial exposure to big data technologies.
- Initiative: Proactively identifying and proposing data solutions.
- Teamwork: Collaborating effectively with stakeholders across departments.
- Communication: Ability to explain complex data concepts to non-technical audiences.
- Critical Thinking: Analyzing data architecture needs and proposing improvements.
- Adaptability: Quickly learning and applying new big data technologies.
- Time Management: Balancing multiple projects and priorities effectively.
- Attention to Detail: Ensuring data accuracy and quality in all processes.
Nice To Haves
- Any relevant Certification.
Responsibilities
- 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.
- Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.
Benefits
- paid time off
- 401(k) plans
- affordable health, life, dental, vision and prescription drug benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
