Top Senior Level Data Engineer Jobs

As a Senior Data Engineer in the Global E-Commerce team, you will design and build data transformations, implement big data systems, and establish best engineering practices to enhance the data platform impacting core products and users.

As a Data Engineer Manager at PGIM, you will design and implement scalable data pipelines using Azure services, develop data models, optimize data retrieval, and ensure data integrity while collaborating with analysts and data scientists.

The Oracle Database Administrator will provide technical guidance on systems relative to business processes, manage database tasks, handle data modeling, and ensure compliance with security standards. The role is client-focused, working with the Defense Logistics Agency, and requires strong experience with Oracle and database management in government settings.

As a Big Data Architect at AiDash, you will enhance and scale data pipelines for satellite imagery and enterprise data, ensuring efficient ingestion, storage, and processing to support business needs. You'll collaborate with data science and engineering teams to tackle challenges and improve data systems.

As a Data + Automation Leader at Gensler, you will lead and innovate digital processes and technology solutions globally. You will focus on data-driven design, automation, and computational workflows, collaborating with teams to enhance project delivery and drive cultural change within the firm.

The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.

As a Lead Data Engineer, you'll design and maintain data lakes and warehouses, develop data management processes, implement data security and governance measures, and ensure high data quality. You'll collaborate with engineers, apply Agile methodologies, and oversee the complete lifecycle of complex data systems.