Top Senior Level Data Engineer Jobs

The Senior Data Engineer will design, build, and support modern data environments in cloud settings. Responsibilities include creating data pipelines, managing data processing systems, and developing scalable data solutions using various tools. The role involves close collaboration with project teams and leadership to deliver analytics and machine learning capabilities.

As the Director of Data and Analytics at Nutrabolt, you will lead the consumer insights team, develop marketing analytics capabilities, and drive optimization of marketing investments through data-driven insights, collaboration, and effective decision-making.

The Technical Lead will design, develop, and implement systems for data movement, storage, and integrity. Responsibilities include optimizing integrations, improving system performance, developing monitoring tools, and ensuring data quality. The role also involves analyzing and enhancing existing integrations and providing technical consultation for Oracle ERP and related technologies.

The Data Architect will be responsible for establishing metadata management, data standards, and best practices for Master Data Management. They will develop data governance, standards, roadmap, and architecture decisions. Additionally, they will lead the selection of preferred data management technologies.

The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.

As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.

The Senior Data Engineer will collaborate with cross-functional teams to design and implement data ingestion, modeling, and transformation processes. Responsibilities include building ETL pipelines, creating data marts, monitoring the data platform, and deploying machine learning models to enhance business intelligence.