Top Logistics Data Engineering Jobs

As a Senior Data Engineer, you will build and maintain data infrastructure, enabling product teams with data-driven insights and solutions.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

The Data Engineer IV is responsible for designing and building data pipelines, implementing transformation logic, ensuring data quality, optimizing data infrastructure, and collaborating with stakeholders. This role requires advanced skills in data engineering, management of projects, and mentoring of junior developers.

As a Senior Data Engineer, you'll build and manage data pipelines for analytics, ensuring data quality and enabling self-serve insights for Marketing and GTM teams.

Responsible for designing and maintaining scalable data pipelines in Azure, ensuring data quality, and optimizing solutions for analytics. Collaborates with stakeholders to gather data needs and automate data operations using CI/CD practices.

As a Senior GCP Data Engineer, you will design data pipelines, implement data governance, mentor team members, and ensure data quality and integrity.

The Database Administrator manages and maintains SQL databases, collaborates with development teams, and ensures database performance and security compliance.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

The Data Architect will design and implement a robust data warehouse and reporting platform on Azure, ensuring data quality and governance while modernizing the existing systems.

As a Senior Data Engineer, you'll design and implement ETL/ELT pipelines, write Python code for data processing, and optimize SQL models. You'll collaborate with teams and improve data architectures to support AI and marketplace strategies.