Top Senior Level Data Engineer Jobs
As a Senior ETL Data Engineer, you will develop and maintain ETL processes using Informatica PowerCenter, perform data analysis, support data warehouses, and collaborate with users to enhance data delivery for financial operations.
The AVP Data Science Digital Analytics role involves leading modeling and analytic strategies for digital marketing, developing campaign strategies, and using data to optimize communication outcomes. Responsibilities include working with SQL and Python for data analysis and modeling, collaborating with teams, and improving the customer journey through advanced analytics.
As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.
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The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
As a Senior Data Engineer, you will design and build a data infrastructure to support business decisions. You will manage data lifecycle, implement data integration strategies, and optimize data pipelines, ensuring performance and cost-efficiency. You will collaborate with various stakeholders and mentor team members while staying updated on emerging technologies.
The Head of Data is responsible for leading data strategy and infrastructure, driving innovation in data analytics, and ensuring the reliability and scalability of data systems. This role involves leading a team of data engineers and analysts while collaborating with cross-functional teams to deliver actionable insights aligned with organizational goals.
The Artificial Intelligence Integrator will support NATO's wargaming capability development by integrating AI techniques. Responsibilities include collaborating with experts, enhancing wargaming activities, developing AI-related materials, conducting experiments, and providing data analytics to improve decision-making processes.
The Data Engineering Lead is responsible for developing scalable data and analytics solutions, implementing high-quality codebases, and collaborating with various teams to drive product innovation. They will also stay updated with industry trends, act as a subject matter expert, and facilitate a culture of innovation within the team.
The Senior Data Engineer will enhance May Mobility's data infrastructure by building data pipelines, creating automated metric systems, and developing UIs and APIs for data access. The role focuses on providing efficient data management solutions that support the overall operations and decision-making within the company.
The Senior Analytics Engineer will lead data transformation and presentation efforts, creating efficient SQL queries and dashboards. They will manage analytics data pipelines, drive new data initiatives, and implement best practices to optimize data models and reporting processes, collaborating closely with Business Analysts.
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