Top eCommerce Data Engineering Jobs

Lead design and build of a scalable, secure cross-cloud data platform and marts. Drive selection and optimization of the modern data stack, enforce governance and lineage, and establish reusable data models and best practices to support analytics, BI, and ML use cases across product and engineering teams.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.

The CJA Pod Lead/Technical Architect will lead the migration of Adobe Analytics to Customer Journey Analytics, ensuring accurate recreation of analytics logic and reporting structures. Responsibilities include guiding teams, overseeing data validation, and collaborating with stakeholders to optimize analytics environments.

The Workday Engineer 2 configures and optimizes Workday systems, manages integrations, designs business processes, and ensures system security within the HR Tech team.

The Senior Data Engineer designs and maintains data pipelines and infrastructure, mentors junior team members, collaborates with data consumers, and automates workflows while ensuring data quality and optimization.

The Cloud Data Engineer will design and develop data ingestion pipelines, manage GCP infrastructure, and ensure data availability for operational systems, leveraging AI tools and collaborating closely with data specialists.

The Software Data Architect, Advisor designs secure data architectures for fraud detection, manages data pipelines, collaborates on ML models, and ensures data quality and governance.

The Senior Data Engineer will design and optimize data pipelines and ingestion strategies to support analytics and AI across Watts. Responsibilities include implementing data engineering best practices and mentoring junior engineers.

Design and develop machine learning models and systems, collaborate with cross-functional teams, and provide mentorship to junior members, focusing on creating impactful recommendation systems.