Top Logistics Data Engineering Jobs

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Senior Data Engineer designs and maintains data systems, develops data pipelines for ingestion and analysis, and optimizes data architecture to support business needs.

The Principal Data Architect leads technical and business discussions on architecture direction, participates in enterprise strategic development, and manages architecture governance while aligning architectural requirements with IT strategy and business goals.

The Senior Data Engineer will lead the design and operation of scalable data pipelines, ensuring performance and compliance while mentoring team members and collaborating on data solutions.

The Data Engineer role focuses on building and maintaining data pipelines, integrating various data sources into a cloud platform, and ensuring data quality and security in an Agile setting.

The Enterprise Data Engineer designs and delivers data solutions, develops data pipelines, and contributes to Agile team processes while mentoring others.

The Data Solutions Specialist interacts with customers to manage variable data for printed labeling, integrating their data with Avery Dennison's systems while optimizing efficiency and resolving issues.

The Data Solutions Specialist manages customers' variable data for printed labeling, collaborates on strategies, and provides technical analysis for integrating customer data into Avery Dennison's systems.

As a Senior Data Engineer, you design and maintain data pipelines and infrastructures to support analytical products, ensuring reliability and scalability. You collaborate with teams to process vast datasets and enhance data-driven decision-making through advanced analytics, machine learning, and automation.

The Senior Data Engineer processes structured and unstructured data, validates data quality, develops data products, supports Agile planning, and monitors emerging technologies.

The Analytics Engineer collaborates with teams to develop data assets, optimize data infrastructure, manage data pipelines, and support analytics processes, ensuring data quality and reliability.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

The Senior Data Engineer will implement a new data architecture, build core data systems, and ensure operational excellence, focusing on AI feature development and data governance.

The Data Engineer will design and maintain ETL/ELT pipelines, optimize data processing jobs, and ensure data quality and availability.