Top Senior Level Data Engineer Jobs
The Sr. Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, mentor junior engineers, and collaborate with various teams to enhance customer experience through Nordstrom's analytical platform.
The Senior Data Engineer will design, implement, and maintain data architecture and pipelines, focusing on scalable data workflows and advanced analytics integration. Responsibilities include optimizing data workflows for performance, ensuring data quality, implementing data security measures, mentoring junior staff, and collaborating with cross-functional teams to meet business needs.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
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The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.
The Data Analytics and AI Solutions Lead will design scalable AI and data analytics solutions, discover new business opportunities, manage stakeholder relationships, and drive continuous improvement in processes and methodologies. This role requires collaboration with senior executives and a strong understanding of financial services to effectively implement innovative data-driven solutions.
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
The Senior Software Engineer will create and maintain data processing pipeline architecture, build infrastructure for data extraction and transformation, analyze complex data sets, and support stakeholders with data-related issues, primarily using Python, SQL, and AWS technologies.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
Lead and manage a team of data engineers to develop innovative data solutions, optimize data pipelines, and drive business insights. Collaborate with cross-functional teams to ensure data engineering efforts align with company goals. Oversee migration to modern cloud-based infrastructure and foster a culture of continuous improvement.
The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.
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